Pandas Profiling Report

Dataset statistics

Number of variables	53
Number of observations	83861
Missing cells	503168
Missing cells (%)	11.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	33.9 MiB
Average record size in memory	424.0 B

Variable types

Numeric	22
Categorical	25
Unsupported	6

Warnings

`customer_local_key` has a high cardinality: 10580 distinct values	High cardinality
`branch_desc_cons` has a high cardinality: 75 distinct values	High cardinality
`driver_name` has a high cardinality: 27785 distinct values	High cardinality
`start_date_leasecontract` has a high cardinality: 3782 distinct values	High cardinality
`end_date_leasecontract` has a high cardinality: 3459 distinct values	High cardinality
`customer_driver_id` has a high cardinality: 34378 distinct values	High cardinality
`vehicle_local_key` has a high cardinality: 83861 distinct values	High cardinality
`registration_date` has a high cardinality: 4215 distinct values	High cardinality
`model_cons` has a high cardinality: 433 distinct values	High cardinality
`model_type_desc` has a high cardinality: 8914 distinct values	High cardinality
`enriched_model` has a high cardinality: 425 distinct values	High cardinality
`lease_contract_id` is highly correlated with `vehicle_id`	High correlation
`vehicle_id` is highly correlated with `lease_contract_id`	High correlation
`manufacturer_group` is highly correlated with `make_cons` and 1 other fields	High correlation
`make_cons` is highly correlated with `manufacturer_group` and 1 other fields	High correlation
`Customer_Segment` is highly correlated with `business_classification_desc`	High correlation
`segment_global` is highly correlated with `vehicle_type_cons` and 1 other fields	High correlation
`enriched_make` is highly correlated with `manufacturer_group` and 1 other fields	High correlation
`vehicle_segment_desc` is highly correlated with `vehicle_type_cons`	High correlation
`vehicle_type_cons` is highly correlated with `segment_global` and 2 other fields	High correlation
`business_classification_desc` is highly correlated with `Customer_Segment`	High correlation
`segment_regional` is highly correlated with `segment_global` and 1 other fields	High correlation
`Unnamed: 47` has 83861 (100.0%) missing values	Missing
`Unnamed: 48` has 83861 (100.0%) missing values	Missing
`Unnamed: 49` has 83861 (100.0%) missing values	Missing
`Unnamed: 50` has 83861 (100.0%) missing values	Missing
`Unnamed: 51` has 83861 (100.0%) missing values	Missing
`Unnamed: 52` has 83861 (100.0%) missing values	Missing
`vehicle_local_key` is uniformly distributed	Uniform
`lease_contract_id` has unique values	Unique
`leasecontract_number` has unique values	Unique
`vehicle_id` has unique values	Unique
`vehicle_local_key` has unique values	Unique
`Unnamed: 47` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 48` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 49` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 50` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 51` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Unnamed: 52` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`fuel_consump_manufacturer` has 49765 (59.3%) zeros	Zeros
`cat_price_options_euro` has 37607 (44.8%) zeros	Zeros
`cat_price_accessories_euro` has 64618 (77.1%) zeros	Zeros
`gross_weight` has 1980 (2.4%) zeros	Zeros
`tare_weight` has 5642 (6.7%) zeros	Zeros
`co2_level_combined` has 3992 (4.8%) zeros	Zeros
`number_of_cylinders` has 3673 (4.4%) zeros	Zeros
`number_of_doors` has 20982 (25.0%) zeros	Zeros
`supplier_discount_perc` has 44032 (52.5%) zeros	Zeros
`discount_to_customer` has 17539 (20.9%) zeros	Zeros

Reproduction

Analysis started	2022-05-03 04:06:10.400870
Analysis finished	2022-05-03 04:07:41.427456
Duration	1 minute and 31.03 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

srno
Real number (ℝ_≥0)

Distinct	6616
Distinct (%)	7.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1994.856429
Minimum	0
Maximum	6646
Zeros	40
Zeros (%)	< 0.1%
Memory size	655.3 KiB

Quantile statistics

Minimum	0
5-th percentile	108
Q1	593
median	1575
Q3	3097
95-th percentile	5306
Maximum	6646
Range	6646
Interquartile range (IQR)	2504

Descriptive statistics

Standard deviation	1646.718194
Coefficient of variation (CV)	0.82548206
Kurtosis	-0.3773184143
Mean	1994.856429
Median Absolute Deviation (MAD)	1129
Skewness	0.7773796853
Sum	167290655
Variance	2711680.812
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
168	45	0.1%
175	45	0.1%
166	44	0.1%
174	44	0.1%
163	44	0.1%
124	44	0.1%
91	44	0.1%
162	43	0.1%
96	43	0.1%
93	43	0.1%
Other values (6606)	83422	99.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	40	< 0.1%
1	42	0.1%
2	41	< 0.1%
3	40	< 0.1%
4	37	< 0.1%

Value	Count	Frequency (%)
6646	1	< 0.1%
6645	1	< 0.1%
6644	1	< 0.1%
6643	1	< 0.1%
6642	1	< 0.1%

customer_number
Real number (ℝ_≥0)

Distinct	10580
Distinct (%)	12.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	203629.6177
Minimum	25
Maximum	915070
Zeros	0
Zeros (%)	0.0%
Memory size	655.3 KiB

Quantile statistics

Minimum	25
5-th percentile	19943
Q1	33373
median	36877
Q3	340638
95-th percentile	907054
Maximum	915070
Range	915045
Interquartile range (IQR)	307265

Descriptive statistics

Standard deviation	298788.1306
Coefficient of variation (CV)	1.467311749
Kurtosis	0.5970858869
Mean	203629.6177
Median Absolute Deviation (MAD)	11568
Skewness	1.488576852
Sum	1.707658337 × 10¹⁰
Variance	8.9274347 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33373	2914	3.5%
33646	2589	3.1%
28067	2240	2.7%
20871	1897	2.3%
91770	1674	2.0%
33455	1640	2.0%
907054	1335	1.6%
36831	1279	1.5%
43012	933	1.1%
909427	925	1.1%
Other values (10570)	66435	79.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
25	2	< 0.1%
1080	25	< 0.1%
4733	45	0.1%
5802	5	< 0.1%
5961	5	< 0.1%

Value	Count	Frequency (%)
915070	8	< 0.1%
915035	31	< 0.1%
915032	6	< 0.1%
915021	3	< 0.1%
914100	8	< 0.1%

customer_id
Real number (ℝ_≥0)

Distinct	10580
Distinct (%)	12.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	25924485.95
Minimum	23485848
Maximum	41108039
Zeros	0
Zeros (%)	0.0%
Memory size	655.3 KiB

Quantile statistics

Minimum	23485848
5-th percentile	23490209
Q1	23511969
median	23598677
Q3	28387258
95-th percentile	34975162
Maximum	41108039
Range	17622191
Interquartile range (IQR)	4875289

Descriptive statistics

Standard deviation	4104296.861
Coefficient of variation (CV)	0.1583173865
Kurtosis	1.744061272
Mean	25924485.95
Median Absolute Deviation (MAD)	97423
Skewness	1.657312443
Sum	2.174053316 × 10¹²
Variance	1.684525273 × 10¹³
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23512100	2914	3.5%
23511969	2589	3.1%
23486802	2240	2.7%
23492064	1897	2.3%
23607324	1674	2.0%
23512370	1640	2.0%
23618292	1335	1.6%
29458632	1279	1.5%
23541849	933	1.1%
23605624	925	1.1%
Other values (10570)	66435	79.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
23485848	2	< 0.1%
23485863	2	< 0.1%
23485865	2	< 0.1%
23485893	3	< 0.1%
23485914	1	< 0.1%

Value	Count	Frequency (%)
41108039	5	< 0.1%
41084355	5	< 0.1%
41037561	5	< 0.1%
40966199	2	< 0.1%
40913667	20	< 0.1%

customer_local_key
Categorical

HIGH CARDINALITY

Distinct	10580
Distinct (%)	12.6%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

UK-C-33373	2914
UK-C-33646	2589
UK-C-28067	2240
UK-C-20871	1897
UK-C-91770	1674
Other values (10575)	72547

Length

Max length	11
Median length	10
Mean length	10.25371746
Min length	7

Characters and Unicode

Total characters	859887
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1506 ?
Unique (%)	1.8%

Sample

1st row	UK-C-506550
2nd row	UK-C-506550
3rd row	UK-C-841984
4th row	UK-C-841984
5th row	UK-C-850742

Value	Count	Frequency (%)
UK-C-33373	2914	3.5%
UK-C-33646	2589	3.1%
UK-C-28067	2240	2.7%
UK-C-20871	1897	2.3%
UK-C-91770	1674	2.0%
UK-C-33455	1640	2.0%
UK-C-907054	1335	1.6%
UK-C-36831	1279	1.5%
UK-C-43012	933	1.1%
UK-C-909427	925	1.1%
Other values (10570)	66435	79.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
uk-c-33373	2914	3.5%
uk-c-33646	2589	3.1%
uk-c-28067	2240	2.7%
uk-c-20871	1897	2.3%
uk-c-91770	1674	2.0%
uk-c-33455	1640	2.0%
uk-c-907054	1335	1.6%
uk-c-36831	1279	1.5%
uk-c-43012	933	1.1%
uk-c-909427	925	1.1%
Other values (10570)	66435	79.2%

Most occurring characters

Value	Count	Frequency (%)
-	167722	19.5%
U	83861	9.8%
K	83861	9.8%
C	83861	9.8%
3	79403	9.2%
4	49503	5.8%
7	43518	5.1%
0	42574	5.0%
2	39537	4.6%
9	38288	4.5%
Other values (4)	147759	17.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	440582	51.2%
Uppercase Letter	251583	29.3%
Dash Punctuation	167722	19.5%

Most frequent character per category

Value	Count	Frequency (%)
3	79403	18.0%
4	49503	11.2%
7	43518	9.9%
0	42574	9.7%
2	39537	9.0%
9	38288	8.7%
1	38174	8.7%
6	37823	8.6%
8	36680	8.3%
5	35082	8.0%

Value	Count	Frequency (%)
U	83861	33.3%
K	83861	33.3%
C	83861	33.3%

Value	Count	Frequency (%)
-	167722	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	608304	70.7%
Latin	251583	29.3%

Most frequent character per script

Value	Count	Frequency (%)
-	167722	27.6%
3	79403	13.1%
4	49503	8.1%
7	43518	7.2%
0	42574	7.0%
2	39537	6.5%
9	38288	6.3%
1	38174	6.3%
6	37823	6.2%
8	36680	6.0%

Value	Count	Frequency (%)
U	83861	33.3%
K	83861	33.3%
C	83861	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	859887	100.0%

Most frequent character per block

Value	Count	Frequency (%)
-	167722	19.5%
U	83861	9.8%
K	83861	9.8%
C	83861	9.8%
3	79403	9.2%
4	49503	5.8%
7	43518	5.1%
0	42574	5.0%
2	39537	4.6%
9	38288	4.5%
Other values (4)	147759	17.2%

branch_desc_cons
Categorical

HIGH CARDINALITY

Distinct	75
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Business Services	14307
Not consolidated	7222
Private Households	6729
Wholesale Trade--Durable Goods	4923
Electric, Gas, And Sanitary Services (Private Companies)	4004
Other values (70)	46676

Length

Max length	59
Median length	18
Mean length	24.65413005
Min length	7

Characters and Unicode

Total characters	2067520
Distinct characters	51
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Furniture And Fixtures
2nd row	Furniture And Fixtures
3rd row	Private Households
4th row	Private Households
5th row	Special Trade Contractors

Value	Count	Frequency (%)
Business Services	14307	17.1%
Not consolidated	7222	8.6%
Private Households	6729	8.0%
Wholesale Trade--Durable Goods	4923	5.9%
Electric, Gas, And Sanitary Services (Private Companies)	4004	4.8%
Insurance Carriers	3627	4.3%
Real Estate	3257	3.9%
Special Trade Contractors	2936	3.5%
Health Services	2869	3.4%
Wholesale Trade--Nondurable Goods	2779	3.3%
Other values (65)	31208	37.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
services	26139	10.6%
and	14997	6.1%
business	14307	5.8%
private	10733	4.3%
goods	8994	3.6%
	7754	3.1%
wholesale	7702	3.1%
not	7222	2.9%
consolidated	7222	2.9%
households	6729	2.7%
Other values (143)	135462	54.8%

Most occurring characters

Value	Count	Frequency (%)
e	211999	10.3%
s	167652	8.1%
	163400	7.9%
r	139345	6.7%
i	134949	6.5%
a	132382	6.4%
o	129958	6.3%
t	107933	5.2%
n	106715	5.2%
c	97675	4.7%
Other values (41)	675512	32.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1617753	78.2%
Uppercase Letter	239955	11.6%
Space Separator	163400	7.9%
Other Punctuation	23000	1.1%
Dash Punctuation	15404	0.7%
Open Punctuation	4004	0.2%
Close Punctuation	4004	0.2%

Most frequent character per category

Value	Count	Frequency (%)
e	211999	13.1%
s	167652	10.4%
r	139345	8.6%
i	134949	8.3%
a	132382	8.2%
o	129958	8.0%
t	107933	6.7%
n	106715	6.6%
c	97675	6.0%
l	89958	5.6%
Other values (14)	299187	18.5%

Value	Count	Frequency (%)
S	38116	15.9%
C	29382	12.2%
P	23645	9.9%
A	20044	8.4%
E	17006	7.1%
B	15727	6.6%
G	14819	6.2%
T	13474	5.6%
H	12613	5.3%
N	10088	4.2%
Other values (10)	45041	18.8%

Value	Count	Frequency (%)
,	14837	64.5%
&	7754	33.7%
.	409	1.8%

Value	Count	Frequency (%)
	163400	100.0%

Value	Count	Frequency (%)
-	15404	100.0%

Value	Count	Frequency (%)
(	4004	100.0%

Value	Count	Frequency (%)
)	4004	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1857708	89.9%
Common	209812	10.1%

Most frequent character per script

Value	Count	Frequency (%)
e	211999	11.4%
s	167652	9.0%
r	139345	7.5%
i	134949	7.3%
a	132382	7.1%
o	129958	7.0%
t	107933	5.8%
n	106715	5.7%
c	97675	5.3%
l	89958	4.8%
Other values (34)	539142	29.0%

Value	Count	Frequency (%)
	163400	77.9%
-	15404	7.3%
,	14837	7.1%
&	7754	3.7%
(	4004	1.9%
)	4004	1.9%
.	409	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2067520	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	211999	10.3%
s	167652	8.1%
	163400	7.9%
r	139345	6.7%
i	134949	6.5%
a	132382	6.4%
o	129958	6.3%
t	107933	5.2%
n	106715	5.2%
c	97675	4.7%
Other values (41)	675512	32.7%

business_classification_desc
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Corporate	45877
Small fleet	20402
Governments	7155
Private Households	6729
Insurance companies	3608
Other values (2)	90

Length

Max length	19
Median length	9
Mean length	10.80540418
Min length	5

Characters and Unicode

Total characters	906152
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Small fleet
2nd row	Small fleet
3rd row	Private Households
4th row	Private Households
5th row	Small fleet

Value	Count	Frequency (%)
Corporate	45877	54.7%
Small fleet	20402	24.3%
Governments	7155	8.5%
Private Households	6729	8.0%
Insurance companies	3608	4.3%
Banks	88	0.1%
Own fleet	2	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
corporate	45877	40.0%
fleet	20404	17.8%
small	20402	17.8%
governments	7155	6.2%
private	6729	5.9%
households	6729	5.9%
insurance	3608	3.1%
companies	3608	3.1%
banks	88	0.1%
own	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	121669	13.4%
o	115975	12.8%
r	109246	12.1%
a	80312	8.9%
t	80165	8.8%
l	67937	7.5%
p	49485	5.5%
C	45877	5.1%
m	31165	3.4%
	30741	3.4%
Other values (18)	173580	19.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	784821	86.6%
Uppercase Letter	90590	10.0%
Space Separator	30741	3.4%

Most frequent character per category

Value	Count	Frequency (%)
e	121669	15.5%
o	115975	14.8%
r	109246	13.9%
a	80312	10.2%
t	80165	10.2%
l	67937	8.7%
p	49485	6.3%
m	31165	4.0%
s	27917	3.6%
n	25224	3.2%
Other values (9)	75726	9.6%

Value	Count	Frequency (%)
C	45877	50.6%
S	20402	22.5%
G	7155	7.9%
P	6729	7.4%
H	6729	7.4%
I	3608	4.0%
B	88	0.1%
O	2	< 0.1%

Value	Count	Frequency (%)
	30741	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	875411	96.6%
Common	30741	3.4%

Most frequent character per script

Value	Count	Frequency (%)
e	121669	13.9%
o	115975	13.2%
r	109246	12.5%
a	80312	9.2%
t	80165	9.2%
l	67937	7.8%
p	49485	5.7%
C	45877	5.2%
m	31165	3.6%
s	27917	3.2%
Other values (17)	145663	16.6%

Value	Count	Frequency (%)
	30741	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	906152	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	121669	13.4%
o	115975	12.8%
r	109246	12.1%
a	80312	8.9%
t	80165	8.8%
l	67937	7.5%
p	49485	5.5%
C	45877	5.1%
m	31165	3.4%
	30741	3.4%
Other values (18)	173580	19.2%

driver_name
Categorical

HIGH CARDINALITY

Distinct	27785
Distinct (%)	33.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Network Driver	8385
POOL	711
CARPOOL	705
TBC TBC	616
UNSPECIFIED	549
Other values (27780)	72895

Length

Max length	36
Median length	13
Mean length	13.52125541
Min length	1

Characters and Unicode

Total characters	1133906
Distinct characters	76
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4443 ?
Unique (%)	5.3%

Sample

1st row	toby downes
2nd row	toby downes
3rd row	thomas fosmes
4th row	thomas fosmes
5th row	terry cottam

Value	Count	Frequency (%)
Network Driver	8385	10.0%
POOL	711	0.8%
CARPOOL	705	0.8%
TBC TBC	616	0.7%
UNSPECIFIED	549	0.7%
TBA TBA	428	0.5%
POOL CAR	401	0.5%
POOL POOL	368	0.4%
POOL VEHICLE	340	0.4%
POOL VAN	326	0.4%
Other values (27775)	71032	84.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
pool	10481	5.8%
driver	8688	4.8%
network	8446	4.7%
auction	3101	1.7%
return	2316	1.3%
paul	1815	1.0%
david	1791	1.0%
c/o	1724	1.0%
mark	1492	0.8%
andrew	1472	0.8%
Other values (15826)	137954	76.9%

Most occurring characters

Value	Count	Frequency (%)
	95458	8.4%
A	74578	6.6%
E	72897	6.4%
O	71914	6.3%
N	68249	6.0%
R	63381	5.6%
L	56353	5.0%
I	48106	4.2%
T	45222	4.0%
S	38489	3.4%
Other values (66)	499259	44.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	812775	71.7%
Lowercase Letter	164942	14.5%
Space Separator	95458	8.4%
Decimal Number	55642	4.9%
Other Punctuation	3779	0.3%
Dash Punctuation	1066	0.1%
Connector Punctuation	88	< 0.1%
Open Punctuation	77	< 0.1%
Close Punctuation	76	< 0.1%
Math Symbol	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
r	31614	19.2%
e	25227	15.3%
i	13979	8.5%
o	13428	8.1%
t	12404	7.5%
k	9461	5.7%
w	9399	5.7%
v	9163	5.6%
a	8842	5.4%
n	6533	4.0%
Other values (16)	24892	15.1%

Value	Count	Frequency (%)
A	74578	9.2%
E	72897	9.0%
O	71914	8.8%
N	68249	8.4%
R	63381	7.8%
L	56353	6.9%
I	48106	5.9%
T	45222	5.6%
S	38489	4.7%
C	38235	4.7%
Other values (16)	235351	29.0%

Value	Count	Frequency (%)
1	12460	22.4%
0	11346	20.4%
3	5588	10.0%
2	5126	9.2%
4	4733	8.5%
5	3829	6.9%
7	3602	6.5%
8	3366	6.0%
6	3331	6.0%
9	2261	4.1%

Value	Count	Frequency (%)
/	2359	62.4%
.	927	24.5%
'	306	8.1%
&	83	2.2%
:	54	1.4%
*	31	0.8%
#	10	0.3%
,	9	0.2%

Value	Count	Frequency (%)
	95458	100.0%

Value	Count	Frequency (%)
-	1066	100.0%

Value	Count	Frequency (%)
_	88	100.0%

Value	Count	Frequency (%)
(	77	100.0%

Value	Count	Frequency (%)
)	76	100.0%

Value	Count	Frequency (%)
+	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	977717	86.2%
Common	156189	13.8%

Most frequent character per script

Value	Count	Frequency (%)
A	74578	7.6%
E	72897	7.5%
O	71914	7.4%
N	68249	7.0%
R	63381	6.5%
L	56353	5.8%
I	48106	4.9%
T	45222	4.6%
S	38489	3.9%
C	38235	3.9%
Other values (42)	400293	40.9%

Value	Count	Frequency (%)
	95458	61.1%
1	12460	8.0%
0	11346	7.3%
3	5588	3.6%
2	5126	3.3%
4	4733	3.0%
5	3829	2.5%
7	3602	2.3%
8	3366	2.2%
6	3331	2.1%
Other values (14)	7350	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1133906	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	95458	8.4%
A	74578	6.6%
E	72897	6.4%
O	71914	6.3%
N	68249	6.0%
R	63381	5.6%
L	56353	5.0%
I	48106	4.2%
T	45222	4.0%
S	38489	3.4%
Other values (66)	499259	44.0%

start_date_leasecontract
Categorical

HIGH CARDINALITY

Distinct	3782
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

2012-12-01 00:00:00	272
2014-06-01 00:00:00	239
2013-07-01 00:00:00	215
2015-06-01 00:00:00	188
2020-04-01 00:00:00	176
Other values (3777)	82771

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	1593359
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	169 ?
Unique (%)	0.2%

Sample

1st row	2014-03-10 00:00:00
2nd row	2018-04-10 00:00:00
3rd row	2016-04-25 00:00:00
4th row	2018-05-25 00:00:00
5th row	2016-09-26 00:00:00

Value	Count	Frequency (%)
2012-12-01 00:00:00	272	0.3%
2014-06-01 00:00:00	239	0.3%
2013-07-01 00:00:00	215	0.3%
2015-06-01 00:00:00	188	0.2%
2020-04-01 00:00:00	176	0.2%
2012-11-01 00:00:00	165	0.2%
2012-06-01 00:00:00	156	0.2%
2013-03-01 00:00:00	154	0.2%
2013-06-01 00:00:00	140	0.2%
2017-03-01 00:00:00	127	0.2%
Other values (3772)	82029	97.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
00:00:00	83861	50.0%
2012-12-01	272	0.2%
2014-06-01	239	0.1%
2013-07-01	215	0.1%
2015-06-01	188	0.1%
2020-04-01	176	0.1%
2012-11-01	165	0.1%
2012-06-01	156	0.1%
2013-03-01	154	0.1%
2013-06-01	140	0.1%
Other values (3773)	82156	49.0%

Most occurring characters

Value	Count	Frequency (%)
0	703459	44.1%
-	167722	10.5%
:	167722	10.5%
1	160500	10.1%
2	141907	8.9%
	83861	5.3%
3	29649	1.9%
6	25871	1.6%
5	25282	1.6%
4	22795	1.4%
Other values (3)	64591	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1174054	73.7%
Dash Punctuation	167722	10.5%
Other Punctuation	167722	10.5%
Space Separator	83861	5.3%

Most frequent character per category

Value	Count	Frequency (%)
0	703459	59.9%
1	160500	13.7%
2	141907	12.1%
3	29649	2.5%
6	25871	2.2%
5	25282	2.2%
4	22795	1.9%
7	22733	1.9%
9	21617	1.8%
8	20241	1.7%

Value	Count	Frequency (%)
-	167722	100.0%

Value	Count	Frequency (%)
	83861	100.0%

Value	Count	Frequency (%)
:	167722	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1593359	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	703459	44.1%
-	167722	10.5%
:	167722	10.5%
1	160500	10.1%
2	141907	8.9%
	83861	5.3%
3	29649	1.9%
6	25871	1.6%
5	25282	1.6%
4	22795	1.4%
Other values (3)	64591	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1593359	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	703459	44.1%
-	167722	10.5%
:	167722	10.5%
1	160500	10.1%
2	141907	8.9%
	83861	5.3%
3	29649	1.9%
6	25871	1.6%
5	25282	1.6%
4	22795	1.4%
Other values (3)	64591	4.1%

end_date_leasecontract
Categorical

HIGH CARDINALITY

Distinct	3459
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

###############################################################################################################################################################################################################################################################	22060
2020-04-30 00:00:00	398
2020-03-31 00:00:00	344
2013-06-30 00:00:00	191
2015-05-31 00:00:00	171
Other values (3454)	60697

Length

Max length	255
Median length	19
Mean length	81.08082422
Min length	19

Characters and Unicode

Total characters	6799519
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	212 ?
Unique (%)	0.3%

Sample

1st row	2018-04-09 00:00:00
2nd row	2019-04-08 00:00:00
3rd row	2018-05-24 00:00:00
4th row	2018-10-08 00:00:00
5th row	2019-09-25 00:00:00

Value	Count	Frequency (%)
###############################################################################################################################################################################################################################################################	22060	26.3%
2020-04-30 00:00:00	398	0.5%
2020-03-31 00:00:00	344	0.4%
2013-06-30 00:00:00	191	0.2%
2015-05-31 00:00:00	171	0.2%
2013-05-31 00:00:00	108	0.1%
2014-05-31 00:00:00	102	0.1%
2017-02-28 00:00:00	101	0.1%
2013-11-14 00:00:00	89	0.1%
2016-09-30 00:00:00	86	0.1%
Other values (3449)	60211	71.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
00:00:00	61801	42.4%
	22060	15.1%
2020-04-30	398	0.3%
2020-03-31	344	0.2%
2013-06-30	191	0.1%
2015-05-31	171	0.1%
2013-05-31	108	0.1%
2014-05-31	102	0.1%
2017-02-28	101	0.1%
2013-11-14	89	0.1%
Other values (3450)	60297	41.4%

Most occurring characters

Value	Count	Frequency (%)
#	5625300	82.7%
0	516118	7.6%
-	123602	1.8%
:	123602	1.8%
1	109701	1.6%
2	103127	1.5%
	61801	0.9%
3	21343	0.3%
9	20321	0.3%
6	19778	0.3%
Other values (4)	74826	1.1%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	5748902	84.5%
Decimal Number	865214	12.7%
Dash Punctuation	123602	1.8%
Space Separator	61801	0.9%

Most frequent character per category

Value	Count	Frequency (%)
0	516118	59.7%
1	109701	12.7%
2	103127	11.9%
3	21343	2.5%
9	20321	2.3%
6	19778	2.3%
7	18996	2.2%
5	18943	2.2%
4	18446	2.1%
8	18441	2.1%

Value	Count	Frequency (%)
#	5625300	97.8%
:	123602	2.2%

Value	Count	Frequency (%)
-	123602	100.0%

Value	Count	Frequency (%)
	61801	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	6799519	100.0%

Most frequent character per script

Value	Count	Frequency (%)
#	5625300	82.7%
0	516118	7.6%
-	123602	1.8%
:	123602	1.8%
1	109701	1.6%
2	103127	1.5%
	61801	0.9%
3	21343	0.3%
9	20321	0.3%
6	19778	0.3%
Other values (4)	74826	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6799519	100.0%

Most frequent character per block

Value	Count	Frequency (%)
#	5625300	82.7%
0	516118	7.6%
-	123602	1.8%
:	123602	1.8%
1	109701	1.6%
2	103127	1.5%
	61801	0.9%
3	21343	0.3%
9	20321	0.3%
6	19778	0.3%
Other values (4)	74826	1.1%

leasecontract_status_cons
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Ended	61801
Operational	22057
On order	3

Length

Max length	11
Median length	5
Mean length	6.578218719
Min length	5

Characters and Unicode

Total characters	551656
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ended
2nd row	Ended
3rd row	Ended
4th row	Ended
5th row	Ended

Value	Count	Frequency (%)
Ended	61801	73.7%
Operational	22057	26.3%
On order	3	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
ended	61801	73.7%
operational	22057	26.3%
on	3	< 0.1%
order	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
d	123605	22.4%
n	83861	15.2%
e	83861	15.2%
E	61801	11.2%
a	44114	8.0%
r	22063	4.0%
O	22060	4.0%
o	22060	4.0%
p	22057	4.0%
t	22057	4.0%
Other values (3)	44117	8.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	467792	84.8%
Uppercase Letter	83861	15.2%
Space Separator	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
d	123605	26.4%
n	83861	17.9%
e	83861	17.9%
a	44114	9.4%
r	22063	4.7%
o	22060	4.7%
p	22057	4.7%
t	22057	4.7%
i	22057	4.7%
l	22057	4.7%

Value	Count	Frequency (%)
E	61801	73.7%
O	22060	26.3%

Value	Count	Frequency (%)
	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	551653	> 99.9%
Common	3	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
d	123605	22.4%
n	83861	15.2%
e	83861	15.2%
E	61801	11.2%
a	44114	8.0%
r	22063	4.0%
O	22060	4.0%
o	22060	4.0%
p	22057	4.0%
t	22057	4.0%
Other values (2)	44114	8.0%

Value	Count	Frequency (%)
	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	551656	100.0%

Most frequent character per block

Value	Count	Frequency (%)
d	123605	22.4%
n	83861	15.2%
e	83861	15.2%
E	61801	11.2%
a	44114	8.0%
r	22063	4.0%
O	22060	4.0%
o	22060	4.0%
p	22057	4.0%
t	22057	4.0%
Other values (3)	44117	8.0%

customer_driver_id
Categorical

HIGH CARDINALITY

Distinct	34378
Distinct (%)	41.0%
Missing	2
Missing (%)	< 0.1%
Memory size	655.3 KiB

UNSPEC	637
Pool	543
POOL	504
CARPOOL	405
POOL1	391
Other values (34373)	81379

Length

Max length	20
Median length	8
Mean length	10.31539847
Min length	1

Characters and Unicode

Total characters	865039
Distinct characters	80
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6242 ?
Unique (%)	7.4%

Sample

1st row	00000000000004999185
2nd row	00000000000004999185
3rd row	00000000000005174754
4th row	00000000000005174754
5th row	00000000000005210435

Value	Count	Frequency (%)
UNSPEC	637	0.8%
Pool	543	0.6%
POOL	504	0.6%
CARPOOL	405	0.5%
POOL1	391	0.5%
POOLVAN	235	0.3%
AUCTIONRETURN	190	0.2%
pool	189	0.2%
1	188	0.2%
AUCTION RETURN	155	0.2%
Other values (34368)	80422	95.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
pool	3120	3.3%
unspec	781	0.8%
return	690	0.7%
auction	644	0.7%
carpool	595	0.6%
pool1	472	0.5%
smh	452	0.5%
1	427	0.5%
poolvan	298	0.3%
car	243	0.3%
Other values (33932)	85527	91.7%

Most occurring characters

Value	Count	Frequency (%)
0	276015	31.9%
1	45988	5.3%
5	36255	4.2%
4	33138	3.8%
2	32135	3.7%
7	30404	3.5%
3	29758	3.4%
6	27424	3.2%
8	26917	3.1%
9	26815	3.1%
Other values (70)	300190	34.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	564849	65.3%
Uppercase Letter	235438	27.2%
Lowercase Letter	53030	6.1%
Space Separator	9395	1.1%
Other Punctuation	1717	0.2%
Dash Punctuation	591	0.1%
Close Punctuation	8	< 0.1%
Math Symbol	5	< 0.1%
Open Punctuation	4	< 0.1%
Currency Symbol	2	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
O	24646	10.5%
A	17846	7.6%
R	16858	7.2%
E	16364	7.0%
L	16358	6.9%
C	16153	6.9%
N	15827	6.7%
T	13912	5.9%
P	13879	5.9%
S	11355	4.8%
Other values (17)	72240	30.7%

Value	Count	Frequency (%)
o	8132	15.3%
e	5503	10.4%
l	5290	10.0%
a	4439	8.4%
r	4273	8.1%
n	3828	7.2%
i	3028	5.7%
t	2771	5.2%
s	2717	5.1%
c	1724	3.3%
Other values (16)	11325	21.4%

Value	Count	Frequency (%)
0	276015	48.9%
1	45988	8.1%
5	36255	6.4%
4	33138	5.9%
2	32135	5.7%
7	30404	5.4%
3	29758	5.3%
6	27424	4.9%
8	26917	4.8%
9	26815	4.7%

Value	Count	Frequency (%)
/	1061	61.8%
.	341	19.9%
*	116	6.8%
!	69	4.0%
,	38	2.2%
'	38	2.2%
&	25	1.5%
#	19	1.1%
;	8	0.5%
?	2	0.1%

Value	Count	Frequency (%)
)	4	50.0%
]	4	50.0%

Value	Count	Frequency (%)
	9395	100.0%

Value	Count	Frequency (%)
-	591	100.0%

Value	Count	Frequency (%)
+	5	100.0%

Value	Count	Frequency (%)
(	4	100.0%

Value	Count	Frequency (%)
£	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	576571	66.7%
Latin	288468	33.3%

Most frequent character per script

Value	Count	Frequency (%)
O	24646	8.5%
A	17846	6.2%
R	16858	5.8%
E	16364	5.7%
L	16358	5.7%
C	16153	5.6%
N	15827	5.5%
T	13912	4.8%
P	13879	4.8%
S	11355	3.9%
Other values (43)	125270	43.4%

Value	Count	Frequency (%)
0	276015	47.9%
1	45988	8.0%
5	36255	6.3%
4	33138	5.7%
2	32135	5.6%
7	30404	5.3%
3	29758	5.2%
6	27424	4.8%
8	26917	4.7%
9	26815	4.7%
Other values (17)	11722	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	865035	> 99.9%
None	4	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
0	276015	31.9%
1	45988	5.3%
5	36255	4.2%
4	33138	3.8%
2	32135	3.7%
7	30404	3.5%
3	29758	3.4%
6	27424	3.2%
8	26917	3.1%
9	26815	3.1%
Other values (68)	300186	34.7%

Value	Count	Frequency (%)
Â	2	50.0%
£	2	50.0%

lease_contract_id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	83861
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	226362286.2
Minimum	133487525
Maximum	393841442
Zeros	0
Zeros (%)	0.0%
Memory size	655.3 KiB

Quantile statistics

Minimum	133487525
5-th percentile	133559809
Q1	145944277
median	180316621
Q3	305582607
95-th percentile	371542115
Maximum	393841442
Range	260353917
Interquartile range (IQR)	159638330

Descriptive statistics

Standard deviation	86153066.95
Coefficient of variation (CV)	0.3805981483
Kurtosis	-1.302507862
Mean	226362286.2
Median Absolute Deviation (MAD)	46769751
Skewness	0.4306453486
Sum	1.898296768 × 10¹³
Variance	7.422350944 × 10¹⁵
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
347736063	1	< 0.1%
242319973	1	< 0.1%
159171149	1	< 0.1%
133721209	1	< 0.1%
147335760	1	< 0.1%
133702225	1	< 0.1%
362914420	1	< 0.1%
133575251	1	< 0.1%
133696084	1	< 0.1%
159122005	1	< 0.1%
Other values (83851)	83851	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
133487525	1	< 0.1%
133505137	1	< 0.1%
133521619	1	< 0.1%
133522135	1	< 0.1%
133522311	1	< 0.1%

Value	Count	Frequency (%)
393841442	1	< 0.1%
393841428	1	< 0.1%
393841420	1	< 0.1%
393841414	1	< 0.1%
393841390	1	< 0.1%

leasecontract_number
Real number (ℝ_≥0)

UNIQUE

Distinct	83861
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6021723.414
Minimum	1000011
Maximum	9999489
Zeros	0
Zeros (%)	0.0%
Memory size	655.3 KiB

Quantile statistics

Minimum	1000011
5-th percentile	1036110
Q1	1181196
median	8868962
Q3	9825950
95-th percentile	9960990
Maximum	9999489
Range	8999478
Interquartile range (IQR)	8644754

Descriptive statistics

Standard deviation	4159106.568
Coefficient of variation (CV)	0.6906837598
Kurtosis	-1.882188583
Mean	6021723.414
Median Absolute Deviation (MAD)	1075132
Skewness	-0.2997551434
Sum	5.049877473 × 10¹¹
Variance	1.729816744 × 10¹³
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8672759	1	< 0.1%
1330221	1	< 0.1%
1776118	1	< 0.1%
1139193	1	< 0.1%
9788642	1	< 0.1%
9882175	1	< 0.1%
9877550	1	< 0.1%
9865732	1	< 0.1%
9863685	1	< 0.1%
1085561	1	< 0.1%
Other values (83851)	83851	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1000011	1	< 0.1%
1000035	1	< 0.1%
1000036	1	< 0.1%
1000042	1	< 0.1%
1000045	1	< 0.1%

Value	Count	Frequency (%)
9999489	1	< 0.1%
9999475	1	< 0.1%
9999454	1	< 0.1%
9999442	1	< 0.1%
9999430	1	< 0.1%

vehicle_id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	83861
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	370778655
Minimum	244461685
Maximum	503292427
Zeros	0
Zeros (%)	0.0%
Memory size	655.3 KiB

Quantile statistics

Minimum	244461685
5-th percentile	244724734
Q1	322464917
median	380105016
Q3	440276238
95-th percentile	488921700
Maximum	503292427
Range	258830742
Interquartile range (IQR)	117811321

Descriptive statistics

Standard deviation	82703025.93
Coefficient of variation (CV)	0.2230522842
Kurtosis	-1.130434276
Mean	370778655
Median Absolute Deviation (MAD)	58394464
Skewness	-0.2702663046
Sum	3.109386879 × 10¹³
Variance	6.839790498 × 10¹⁵
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
447088639	1	< 0.1%
361716350	1	< 0.1%
339162901	1	< 0.1%
325034593	1	< 0.1%
321489508	1	< 0.1%
326385456	1	< 0.1%
416651878	1	< 0.1%
366580327	1	< 0.1%
244705896	1	< 0.1%
244789014	1	< 0.1%
Other values (83851)	83851	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
244461685	1	< 0.1%
244461708	1	< 0.1%
244461710	1	< 0.1%
244461712	1	< 0.1%
244461721	1	< 0.1%

Value	Count	Frequency (%)
503292427	1	< 0.1%
503292406	1	< 0.1%
503292364	1	< 0.1%
503292356	1	< 0.1%
503292335	1	< 0.1%

vehicle_local_key
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	83861
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

UK-9208474	1
UK-1120645	1
UK-9760950	1
UK-1283661	1
UK-9876472	1
Other values (83856)	83856

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	838610
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	83861 ?
Unique (%)	100.0%

Sample

1st row	UK-9877167
2nd row	UK-1177401
3rd row	UK-1051210
4th row	UK-1183042
5th row	UK-1083812

Value	Count	Frequency (%)
UK-9208474	1	< 0.1%
UK-1120645	1	< 0.1%
UK-9760950	1	< 0.1%
UK-1283661	1	< 0.1%
UK-9876472	1	< 0.1%
UK-9888297	1	< 0.1%
UK-8775391	1	< 0.1%
UK-8614004	1	< 0.1%
UK-1288186	1	< 0.1%
UK-8588579	1	< 0.1%
Other values (83851)	83851	> 99.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
uk-9816655	1	< 0.1%
uk-1196474	1	< 0.1%
uk-9885438	1	< 0.1%
uk-9659249	1	< 0.1%
uk-9856095	1	< 0.1%
uk-1285273	1	< 0.1%
uk-9376284	1	< 0.1%
uk-9855801	1	< 0.1%
uk-9907491	1	< 0.1%
uk-8587915	1	< 0.1%
Other values (83851)	83851	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
9	95328	11.4%
1	89503	10.7%
U	83861	10.0%
K	83861	10.0%
-	83861	10.0%
8	65271	7.8%
0	55684	6.6%
2	51289	6.1%
3	48646	5.8%
7	47562	5.7%
Other values (3)	133744	15.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	587027	70.0%
Uppercase Letter	167722	20.0%
Dash Punctuation	83861	10.0%

Most frequent character per category

Value	Count	Frequency (%)
9	95328	16.2%
1	89503	15.2%
8	65271	11.1%
0	55684	9.5%
2	51289	8.7%
3	48646	8.3%
7	47562	8.1%
4	45353	7.7%
5	44535	7.6%
6	43856	7.5%

Value	Count	Frequency (%)
U	83861	50.0%
K	83861	50.0%

Value	Count	Frequency (%)
-	83861	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	670888	80.0%
Latin	167722	20.0%

Most frequent character per script

Value	Count	Frequency (%)
9	95328	14.2%
1	89503	13.3%
-	83861	12.5%
8	65271	9.7%
0	55684	8.3%
2	51289	7.6%
3	48646	7.3%
7	47562	7.1%
4	45353	6.8%
5	44535	6.6%

Value	Count	Frequency (%)
U	83861	50.0%
K	83861	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	838610	100.0%

Most frequent character per block

Value	Count	Frequency (%)
9	95328	11.4%
1	89503	10.7%
U	83861	10.0%
K	83861	10.0%
-	83861	10.0%
8	65271	7.8%
0	55684	6.6%
2	51289	6.1%
3	48646	5.8%
7	47562	5.7%
Other values (3)	133744	15.9%

make_cons
Categorical

HIGH CORRELATION

Distinct	44
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Ford	13637
BMW	9572
Volkswagen	9123
Opel	7609
Audi	6681
Other values (39)	37239

Length

Max length	13
Median length	5
Mean length	6.035666162
Min length	2

Characters and Unicode

Total characters	506157
Distinct characters	46
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Peugeot
2nd row	Peugeot
3rd row	BMW
4th row	BMW
5th row	Nissan

Value	Count	Frequency (%)
Ford	13637	16.3%
BMW	9572	11.4%
Volkswagen	9123	10.9%
Opel	7609	9.1%
Audi	6681	8.0%
Mercedes Benz	6115	7.3%
Renault	5138	6.1%
Toyota	3222	3.8%
Nissan	3029	3.6%
Peugeot	3007	3.6%
Other values (34)	16728	19.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
ford	13637	14.9%
bmw	9572	10.4%
volkswagen	9123	9.9%
opel	7609	8.3%
audi	6681	7.3%
mercedes	6115	6.7%
benz	6115	6.7%
renault	5138	5.6%
toyota	3222	3.5%
nissan	3029	3.3%
Other values (37)	21484	23.4%

Most occurring characters

Value	Count	Frequency (%)
e	59361	11.7%
o	43529	8.6%
a	31607	6.2%
d	31603	6.2%
n	29223	5.8%
r	24641	4.9%
l	24552	4.9%
s	24199	4.8%
i	18467	3.6%
M	18344	3.6%
Other values (36)	200631	39.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	387272	76.5%
Uppercase Letter	110985	21.9%
Space Separator	7864	1.6%
Other Punctuation	36	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	59361	15.3%
o	43529	11.2%
a	31607	8.2%
d	31603	8.2%
n	29223	7.5%
r	24641	6.4%
l	24552	6.3%
s	24199	6.2%
i	18467	4.8%
u	18008	4.6%
Other values (14)	82082	21.2%

Value	Count	Frequency (%)
M	18344	16.5%
B	15687	14.1%
F	14015	12.6%
V	11345	10.2%
W	9572	8.6%
O	7609	6.9%
A	6905	6.2%
R	6887	6.2%
S	3470	3.1%
T	3440	3.1%
Other values (9)	13711	12.4%

Value	Count	Frequency (%)
/	27	75.0%
.	9	25.0%

Value	Count	Frequency (%)
	7864	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	498257	98.4%
Common	7900	1.6%

Most frequent character per script

Value	Count	Frequency (%)
e	59361	11.9%
o	43529	8.7%
a	31607	6.3%
d	31603	6.3%
n	29223	5.9%
r	24641	4.9%
l	24552	4.9%
s	24199	4.9%
i	18467	3.7%
M	18344	3.7%
Other values (33)	192731	38.7%

Value	Count	Frequency (%)
	7864	99.5%
/	27	0.3%
.	9	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	506157	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	59361	11.7%
o	43529	8.6%
a	31607	6.2%
d	31603	6.2%
n	29223	5.8%
r	24641	4.9%
l	24552	4.9%
s	24199	4.8%
i	18467	3.6%
M	18344	3.6%
Other values (36)	200631	39.6%

registration_date
Categorical

HIGH CARDINALITY

Distinct	4215
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

2018-03-31	556
2017-03-31	460
2018-04-30	398
2015-09-30	324
2016-03-31	299
Other values (4210)	81824

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	838610
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	431 ?
Unique (%)	0.5%

Sample

1st row	2013-12-31
2nd row	2013-12-31
3rd row	2016-03-31
4th row	2016-03-31
5th row	2016-07-31

Value	Count	Frequency (%)
2018-03-31	556	0.7%
2017-03-31	460	0.5%
2018-04-30	398	0.5%
2015-09-30	324	0.4%
2016-03-31	299	0.4%
2016-06-30	248	0.3%
2016-05-31	215	0.3%
2017-06-30	202	0.2%
2014-09-30	195	0.2%
2014-05-28	185	0.2%
Other values (4205)	80779	96.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
2018-03-31	556	0.7%
2017-03-31	460	0.5%
2018-04-30	398	0.5%
2015-09-30	324	0.4%
2016-03-31	299	0.4%
2016-06-30	248	0.3%
2016-05-31	215	0.3%
2017-06-30	202	0.2%
2014-09-30	195	0.2%
2014-05-28	185	0.2%
Other values (4205)	80779	96.3%

Most occurring characters

Value	Count	Frequency (%)
0	201070	24.0%
-	167722	20.0%
1	155062	18.5%
2	137988	16.5%
3	37607	4.5%
6	25271	3.0%
5	24444	2.9%
9	23345	2.8%
7	23148	2.8%
4	21807	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	670888	80.0%
Dash Punctuation	167722	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	201070	30.0%
1	155062	23.1%
2	137988	20.6%
3	37607	5.6%
6	25271	3.8%
5	24444	3.6%
9	23345	3.5%
7	23148	3.5%
4	21807	3.3%
8	21146	3.2%

Value	Count	Frequency (%)
-	167722	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	838610	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	201070	24.0%
-	167722	20.0%
1	155062	18.5%
2	137988	16.5%
3	37607	4.5%
6	25271	3.0%
5	24444	2.9%
9	23345	2.8%
7	23148	2.8%
4	21807	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	838610	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	201070	24.0%
-	167722	20.0%
1	155062	18.5%
2	137988	16.5%
3	37607	4.5%
6	25271	3.0%
5	24444	2.9%
9	23345	2.8%
7	23148	2.8%
4	21807	2.6%

model_cons
Categorical

HIGH CARDINALITY

Distinct	433
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

TRANSIT	3862
3 SERIES	3796
GOLF	3752
FOCUS	2551
CORSA	2288
Other values (428)	67612

Length

Max length	24
Median length	6
Mean length	6.404669632
Min length	2

Characters and Unicode

Total characters	537102
Distinct characters	53
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	0.1%

Sample

1st row	BIPPER
2nd row	BIPPER
3rd row	4 SERIES
4th row	4 SERIES
5th row	NP300

Value	Count	Frequency (%)
TRANSIT	3862	4.6%
3 SERIES	3796	4.5%
GOLF	3752	4.5%
FOCUS	2551	3.0%
CORSA	2288	2.7%
A3	2232	2.7%
PASSAT	2138	2.5%
TRANSIT CUSTOM	2055	2.5%
5 SERIES	2010	2.4%
A4	1894	2.3%
Other values (423)	57283	68.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
series	8191	8.1%
transit	7519	7.5%
3	3796	3.8%
golf	3756	3.7%
focus	2551	2.5%
passat	2478	2.5%
corsa	2288	2.3%
a3	2232	2.2%
custom	2133	2.1%
5	2010	2.0%
Other values (423)	63741	63.3%

Most occurring characters

Value	Count	Frequency (%)
S	61402	11.4%
A	59698	11.1%
R	44043	8.2%
E	41246	7.7%
I	38429	7.2%
T	37562	7.0%
O	32036	6.0%
N	28701	5.3%
C	28270	5.3%
	16834	3.1%
Other values (43)	148881	27.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	481655	89.7%
Decimal Number	30061	5.6%
Space Separator	16834	3.1%
Dash Punctuation	6354	1.2%
Other Punctuation	1154	0.2%
Lowercase Letter	868	0.2%
Math Symbol	172	< 0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
S	61402	12.7%
A	59698	12.4%
R	44043	9.1%
E	41246	8.6%
I	38429	8.0%
T	37562	7.8%
O	32036	6.7%
N	28701	6.0%
C	28270	5.9%
L	16377	3.4%
Other values (16)	93891	19.5%

Value	Count	Frequency (%)
3	7806	26.0%
0	5820	19.4%
5	4166	13.9%
4	3570	11.9%
1	2533	8.4%
6	2312	7.7%
2	1955	6.5%
8	1219	4.1%
7	447	1.5%
9	233	0.8%

Value	Count	Frequency (%)
o	186	21.4%
t	124	14.3%
d	124	14.3%
c	62	7.1%
n	62	7.1%
s	62	7.1%
l	62	7.1%
i	62	7.1%
a	62	7.1%
e	62	7.1%

Value	Count	Frequency (%)
/	1108	96.0%
'	46	4.0%

Value	Count	Frequency (%)
	16834	100.0%

Value	Count	Frequency (%)
-	6354	100.0%

Value	Count	Frequency (%)
+	172	100.0%

Value	Count	Frequency (%)
(	2	100.0%

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	482523	89.8%
Common	54579	10.2%

Most frequent character per script

Value	Count	Frequency (%)
S	61402	12.7%
A	59698	12.4%
R	44043	9.1%
E	41246	8.5%
I	38429	8.0%
T	37562	7.8%
O	32036	6.6%
N	28701	5.9%
C	28270	5.9%
L	16377	3.4%
Other values (26)	94759	19.6%

Value	Count	Frequency (%)
	16834	30.8%
3	7806	14.3%
-	6354	11.6%
0	5820	10.7%
5	4166	7.6%
4	3570	6.5%
1	2533	4.6%
6	2312	4.2%
2	1955	3.6%
8	1219	2.2%
Other values (7)	2010	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	537102	100.0%

Most frequent character per block

Value	Count	Frequency (%)
S	61402	11.4%
A	59698	11.1%
R	44043	8.2%
E	41246	7.7%
I	38429	7.2%
T	37562	7.0%
O	32036	6.0%
N	28701	5.3%
C	28270	5.3%
	16834	3.1%
Other values (43)	148881	27.7%

model_type_desc
Categorical

HIGH CARDINALITY

Distinct	8914
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

1.3D LIFE	1041
M SPORT	579
1.0T140 ST-LNNV	534
SPORT	474
SE	463
Other values (8909)	80770

Length

Max length	15
Median length	13
Mean length	11.85089613
Min length	1

Characters and Unicode

Total characters	993828
Distinct characters	70
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2909 ?
Unique (%)	3.5%

Sample

1st row	1.3D75 PROF
2nd row	1.3D75 PROF
3rd row	2.0 M SPT PRF A
4th row	2.0 M SPT PRF A
5th row	190 D/C TEKNA A

Value	Count	Frequency (%)
1.3D LIFE	1041	1.2%
M SPORT	579	0.7%
1.0T140 ST-LNNV	534	0.6%
SPORT	474	0.6%
SE	463	0.6%
2.0d SE	443	0.5%
M SPORT St	433	0.5%
2.2D100L	418	0.5%
2.2D85L	408	0.5%
2.0d EFFCT DYNS	406	0.5%
Other values (8904)	78662	93.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
se	12532	5.9%
2.0d	8220	3.9%
1.6d	6718	3.2%
sport	6707	3.2%
m	3358	1.6%
nav	2911	1.4%
bus	2746	1.3%
au	2703	1.3%
2.0	2590	1.2%
1.5d	2488	1.2%
Other values (3026)	160429	75.9%

Most occurring characters

Value	Count	Frequency (%)
	127829	12.9%
.	64425	6.5%
1	63601	6.4%
E	54072	5.4%
2	53626	5.4%
D	53418	5.4%
T	52837	5.3%
0	52473	5.3%
S	50517	5.1%
L	28254	2.8%
Other values (60)	392776	39.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	488154	49.1%
Decimal Number	252640	25.4%
Space Separator	127829	12.9%
Other Punctuation	71463	7.2%
Lowercase Letter	46009	4.6%
Dash Punctuation	4945	0.5%
Math Symbol	2592	0.3%
Open Punctuation	98	< 0.1%
Close Punctuation	98	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
E	54072	11.1%
D	53418	10.9%
T	52837	10.8%
S	50517	10.3%
L	28254	5.8%
N	27520	5.6%
R	23736	4.9%
C	22273	4.6%
P	20673	4.2%
A	20081	4.1%
Other values (16)	134773	27.6%

Value	Count	Frequency (%)
d	18873	41.0%
i	6060	13.2%
e	3379	7.3%
t	3106	6.8%
s	2915	6.3%
p	1953	4.2%
f	1919	4.2%
h	1296	2.8%
n	1053	2.3%
y	927	2.0%
Other values (14)	4528	9.8%

Value	Count	Frequency (%)
1	63601	25.2%
2	53626	21.2%
0	52473	20.8%
5	22133	8.8%
6	15569	6.2%
3	14425	5.7%
4	11385	4.5%
7	7325	2.9%
9	6530	2.6%
8	5573	2.2%

Value	Count	Frequency (%)
.	64425	90.2%
/	6902	9.7%
&	77	0.1%
"	53	0.1%
\	6	< 0.1%

Value	Count	Frequency (%)
	127829	100.0%

Value	Count	Frequency (%)
-	4945	100.0%

Value	Count	Frequency (%)
+	2592	100.0%

Value	Count	Frequency (%)
(	98	100.0%

Value	Count	Frequency (%)
)	98	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	534163	53.7%
Common	459665	46.3%

Most frequent character per script

Value	Count	Frequency (%)
E	54072	10.1%
D	53418	10.0%
T	52837	9.9%
S	50517	9.5%
L	28254	5.3%
N	27520	5.2%
R	23736	4.4%
C	22273	4.2%
P	20673	3.9%
A	20081	3.8%
Other values (40)	180782	33.8%

Value	Count	Frequency (%)
	127829	27.8%
.	64425	14.0%
1	63601	13.8%
2	53626	11.7%
0	52473	11.4%
5	22133	4.8%
6	15569	3.4%
3	14425	3.1%
4	11385	2.5%
7	7325	1.6%
Other values (10)	26874	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	993828	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	127829	12.9%
.	64425	6.5%
1	63601	6.4%
E	54072	5.4%
2	53626	5.4%
D	53418	5.4%
T	52837	5.3%
0	52473	5.3%
S	50517	5.1%
L	28254	2.8%
Other values (60)	392776	39.5%

manufacturer_group
Categorical

HIGH CORRELATION

Distinct	22
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

VAG	19133
Ford Motor Co.	13637
BMW Group	10281
Renault-Nissan	8202
GM	7709
Other values (17)	24899

Length

Max length	31
Median length	9
Mean length	8.495248089
Min length	2

Characters and Unicode

Total characters	712420
Distinct characters	39
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PSA
2nd row	PSA
3rd row	BMW Group
4th row	BMW Group
5th row	Renault-Nissan

Value	Count	Frequency (%)
VAG	19133	22.8%
Ford Motor Co.	13637	16.3%
BMW Group	10281	12.3%
Renault-Nissan	8202	9.8%
GM	7709	9.2%
Daimler AG	6142	7.3%
PSA	5422	6.5%
Toyota Motor Co	3704	4.4%
Tata Group	2383	2.8%
Geely Group	2222	2.6%
Other values (12)	5026	6.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
vag	19133	13.2%
motor	18765	13.0%
co	17903	12.4%
group	16852	11.6%
ford	13637	9.4%
bmw	10281	7.1%
renault-nissan	8202	5.7%
gm	7709	5.3%
ag	6142	4.2%
daimler	6142	4.2%
Other values (20)	20074	13.9%

Most occurring characters

Value	Count	Frequency (%)
o	95386	13.4%
	60979	8.6%
r	56684	8.0%
G	52058	7.3%
M	38888	5.5%
a	35839	5.0%
t	35367	5.0%
A	30858	4.3%
u	26795	3.8%
i	19828	2.8%
Other values (29)	259738	36.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	392144	55.0%
Uppercase Letter	236729	33.2%
Space Separator	60979	8.6%
Other Punctuation	14208	2.0%
Dash Punctuation	8202	1.2%
Open Punctuation	79	< 0.1%
Close Punctuation	79	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
o	95386	24.3%
r	56684	14.5%
a	35839	9.1%
t	35367	9.0%
u	26795	6.8%
i	19828	5.1%
e	19202	4.9%
s	19136	4.9%
p	17714	4.5%
n	17554	4.5%
Other values (8)	48639	12.4%

Value	Count	Frequency (%)
G	52058	22.0%
M	38888	16.4%
A	30858	13.0%
V	19133	8.1%
C	18923	8.0%
F	14682	6.2%
B	10281	4.3%
W	10281	4.3%
N	8205	3.5%
R	8202	3.5%
Other values (6)	25218	10.7%

Value	Count	Frequency (%)
	60979	100.0%

Value	Count	Frequency (%)
-	8202	100.0%

Value	Count	Frequency (%)
.	14208	100.0%

Value	Count	Frequency (%)
(	79	100.0%

Value	Count	Frequency (%)
)	79	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	628873	88.3%
Common	83547	11.7%

Most frequent character per script

Value	Count	Frequency (%)
o	95386	15.2%
r	56684	9.0%
G	52058	8.3%
M	38888	6.2%
a	35839	5.7%
t	35367	5.6%
A	30858	4.9%
u	26795	4.3%
i	19828	3.2%
e	19202	3.1%
Other values (24)	217968	34.7%

Value	Count	Frequency (%)
	60979	73.0%
.	14208	17.0%
-	8202	9.8%
(	79	0.1%
)	79	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	712420	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	95386	13.4%
	60979	8.6%
r	56684	8.0%
G	52058	7.3%
M	38888	5.5%
a	35839	5.0%
t	35367	5.0%
A	30858	4.3%
u	26795	3.8%
i	19828	2.8%
Other values (29)	259738	36.5%

vehicle_type_cons
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Car	60943
Van	22918

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	251583
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Van
2nd row	Van
3rd row	Car
4th row	Car
5th row	Van

Value	Count	Frequency (%)
Car	60943	72.7%
Van	22918	27.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
car	60943	72.7%
van	22918	27.3%

Most occurring characters

Value	Count	Frequency (%)
a	83861	33.3%
C	60943	24.2%
r	60943	24.2%
V	22918	9.1%
n	22918	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	167722	66.7%
Uppercase Letter	83861	33.3%

Most frequent character per category

Value	Count	Frequency (%)
a	83861	50.0%
r	60943	36.3%
n	22918	13.7%

Value	Count	Frequency (%)
C	60943	72.7%
V	22918	27.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	251583	100.0%

Most frequent character per script

Value	Count	Frequency (%)
a	83861	33.3%
C	60943	24.2%
r	60943	24.2%
V	22918	9.1%
n	22918	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	251583	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	83861	33.3%
C	60943	24.2%
r	60943	24.2%
V	22918	9.1%
n	22918	9.1%

vehicle_segment_desc
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Compact car	18555
Medium car	17354
Commercial van	14582
SUV	10714
Small car	7148
Other values (11)	15508

Length

Max length	22
Median length	11
Mean length	10.51235974
Min length	3

Characters and Unicode

Total characters	881577
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Car derived van
2nd row	Car derived van
3rd row	Medium car
4th row	Medium car
5th row	Other Van

Value	Count	Frequency (%)
Compact car	18555	22.1%
Medium car	17354	20.7%
Commercial van	14582	17.4%
SUV	10714	12.8%
Small car	7148	8.5%
Car derived van	5417	6.5%
Executive car	5038	6.0%
Other Van	1685	2.0%
Not consolidated	872	1.0%
Other Car	786	0.9%
Other values (6)	1710	2.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
car	55100	33.9%
van	21767	13.4%
compact	18555	11.4%
medium	17354	10.7%
commercial	15320	9.4%
suv	10714	6.6%
small	7148	4.4%
derived	6155	3.8%
executive	5038	3.1%
other	2471	1.5%
Other values (6)	2807	1.7%

Most occurring characters

Value	Count	Frequency (%)
a	118853	13.5%
c	88674	10.1%
r	79102	9.0%
	78568	8.9%
m	73697	8.4%
e	58403	6.6%
i	44739	5.1%
C	40086	4.5%
o	36652	4.2%
d	31408	3.6%
Other values (21)	231395	26.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	693648	78.7%
Uppercase Letter	109361	12.4%
Space Separator	78568	8.9%

Most frequent character per category

Value	Count	Frequency (%)
a	118853	17.1%
c	88674	12.8%
r	79102	11.4%
m	73697	10.6%
e	58403	8.4%
i	44739	6.4%
o	36652	5.3%
d	31408	4.5%
v	31192	4.5%
l	30488	4.4%
Other values (10)	100440	14.5%

Value	Count	Frequency (%)
C	40086	36.7%
M	18109	16.6%
S	17862	16.3%
V	13237	12.1%
U	10784	9.9%
E	5038	4.6%
O	2471	2.3%
N	963	0.9%
P	755	0.7%
L	56	0.1%

Value	Count	Frequency (%)
	78568	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	803009	91.1%
Common	78568	8.9%

Most frequent character per script

Value	Count	Frequency (%)
a	118853	14.8%
c	88674	11.0%
r	79102	9.9%
m	73697	9.2%
e	58403	7.3%
i	44739	5.6%
C	40086	5.0%
o	36652	4.6%
d	31408	3.9%
v	31192	3.9%
Other values (20)	200203	24.9%

Value	Count	Frequency (%)
	78568	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	881577	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	118853	13.5%
c	88674	10.1%
r	79102	9.0%
	78568	8.9%
m	73697	8.4%
e	58403	6.6%
i	44739	5.1%
C	40086	4.5%
o	36652	4.2%
d	31408	3.6%
Other values (21)	231395	26.2%

primary_fuel_type_cons
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Diesel	68612
Petrol	11704
Electric	3494
LPG	51

Length

Max length	8
Median length	6
Mean length	6.081503917
Min length	3

Characters and Unicode

Total characters	510001
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Diesel
2nd row	Diesel
3rd row	Diesel
4th row	Diesel
5th row	Diesel

Value	Count	Frequency (%)
Diesel	68612	81.8%
Petrol	11704	14.0%
Electric	3494	4.2%
LPG	51	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
diesel	68612	81.8%
petrol	11704	14.0%
electric	3494	4.2%
lpg	51	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	152422	29.9%
l	83810	16.4%
i	72106	14.1%
D	68612	13.5%
s	68612	13.5%
t	15198	3.0%
r	15198	3.0%
P	11755	2.3%
o	11704	2.3%
c	6988	1.4%
Other values (3)	3596	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	426038	83.5%
Uppercase Letter	83963	16.5%

Most frequent character per category

Value	Count	Frequency (%)
e	152422	35.8%
l	83810	19.7%
i	72106	16.9%
s	68612	16.1%
t	15198	3.6%
r	15198	3.6%
o	11704	2.7%
c	6988	1.6%

Value	Count	Frequency (%)
D	68612	81.7%
P	11755	14.0%
E	3494	4.2%
L	51	0.1%
G	51	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	510001	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	152422	29.9%
l	83810	16.4%
i	72106	14.1%
D	68612	13.5%
s	68612	13.5%
t	15198	3.0%
r	15198	3.0%
P	11755	2.3%
o	11704	2.3%
c	6988	1.4%
Other values (3)	3596	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	510001	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	152422	29.9%
l	83810	16.4%
i	72106	14.1%
D	68612	13.5%
s	68612	13.5%
t	15198	3.0%
r	15198	3.0%
P	11755	2.3%
o	11704	2.3%
c	6988	1.4%
Other values (3)	3596	0.7%

fuel_consump_manufacturer
Real number (ℝ_≥0)

ZEROS

Distinct	176
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.005546082
Minimum	0
Maximum	100
Zeros	49765
Zeros (%)	59.3%
Memory size	655.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1.56
95-th percentile	2.34
Maximum	100
Range	100
Interquartile range (IQR)	1.56

Descriptive statistics

Standard deviation	5.516054246
Coefficient of variation (CV)	5.485630489
Kurtosis	308.7688061
Mean	1.005546082
Median Absolute Deviation (MAD)	0
Skewness	17.37494842
Sum	84326.1
Variance	30.42685445
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	49765	59.3%
1.52	2012	2.4%
1.45	1479	1.8%
1.59	1476	1.8%
1.35	1303	1.6%
1.49	1265	1.5%
1.42	1240	1.5%
1.66	1170	1.4%
1.84	1095	1.3%
1.56	1063	1.3%
Other values (166)	21993	26.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	49765	59.3%
0.21	23	< 0.1%
0.25	6	< 0.1%
0.39	10	< 0.1%
0.42	8	< 0.1%

Value	Count	Frequency (%)
100	252	0.3%
17.24	20	< 0.1%
4.52	1	< 0.1%
4.35	2	< 0.1%
4.22	1	< 0.1%

cat_price_euro
Real number (ℝ_≥0)

Distinct	10247
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	23824.026
Minimum	1.11
Maximum	120815.27
Zeros	0
Zeros (%)	0.0%
Memory size	655.3 KiB

Quantile statistics

Minimum	1.11
5-th percentile	12479.92
Q1	18775.47
median	22726.98
Q3	28295.23
95-th percentile	36564.22
Maximum	120815.27
Range	120814.16
Interquartile range (IQR)	9519.76

Descriptive statistics

Standard deviation	7937.687993
Coefficient of variation (CV)	0.3331799584
Kurtosis	5.388476221
Mean	23824.026
Median Absolute Deviation (MAD)	4609.32
Skewness	1.251400156
Sum	1997906645
Variance	63006890.67
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9369.36	1034	1.2%
19979.91	546	0.7%
21229.76	312	0.4%
25126.61	301	0.4%
19906.72	279	0.3%
9714.73	209	0.2%
14953.66	208	0.2%
26677.56	195	0.2%
24248.29	194	0.2%
38990.72	182	0.2%
Other values (10237)	80401	95.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.11	11	< 0.1%
5959.23	1	< 0.1%
6198.77	3	< 0.1%
6429.88	1	< 0.1%
6572.57	2	< 0.1%

Value	Count	Frequency (%)
120815.27	1	< 0.1%
107293.04	2	< 0.1%
102895.63	2	< 0.1%
99575.31	1	< 0.1%
96179.7	3	< 0.1%

cat_price_options_euro
Real number (ℝ)

ZEROS

Distinct	18360
Distinct (%)	21.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	503.3524755
Minimum	-137.86
Maximum	18942.18
Zeros	37607
Zeros (%)	44.8%
Memory size	655.3 KiB

Quantile statistics

Minimum	-137.86
5-th percentile	0
Q1	0
median	178.83
Q3	576.46
95-th percentile	2165.7
Maximum	18942.18
Range	19080.04
Interquartile range (IQR)	576.46

Descriptive statistics

Standard deviation	900.8711171
Coefficient of variation (CV)	1.789742101
Kurtosis	37.93733427
Mean	503.3524755
Median Absolute Deviation (MAD)	178.83
Skewness	4.481621141
Sum	42211641.95
Variance	811568.7697
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37607	44.8%
171.08	603	0.7%
486.41	260	0.3%
478.07	225	0.3%
458.61	221	0.3%
111.17	211	0.3%
417.34	196	0.2%
437.21	174	0.2%
500.3	173	0.2%
504.94	156	0.2%
Other values (18350)	44035	52.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-137.86	1	< 0.1%
-49.75	3	< 0.1%
0	37607	44.8%
0.37	1	< 0.1%
2.83	1	< 0.1%

Value	Count	Frequency (%)
18942.18	1	< 0.1%
18378	2	< 0.1%
16468.49	2	< 0.1%
16167.39	1	< 0.1%
16121.05	1	< 0.1%

cat_price_accessories_euro
Real number (ℝ_≥0)

ZEROS

Distinct	4463
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	546.7760669
Minimum	0
Maximum	86587.86
Zeros	64618
Zeros (%)	77.1%
Memory size	655.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3342.07
Maximum	86587.86
Range	86587.86
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2096.997024
Coefficient of variation (CV)	3.835202656
Kurtosis	309.0504976
Mean	546.7760669
Median Absolute Deviation (MAD)	0
Skewness	11.69753734
Sum	45853187.75
Variance	4397396.52
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	64618	77.1%
157.87	644	0.8%
360.72	409	0.5%
189	385	0.5%
5.83	316	0.4%
118.29	254	0.3%
203.45	240	0.3%
2473.17	198	0.2%
222.35	129	0.2%
753.98	125	0.1%
Other values (4453)	16543	19.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	64618	77.1%
0.01	17	< 0.1%
0.02	1	< 0.1%
0.88	1	< 0.1%
1.11	27	< 0.1%

Value	Count	Frequency (%)
86587.86	2	< 0.1%
84364.26	3	< 0.1%
83697.19	3	< 0.1%
57505.47	1	< 0.1%
46289.66	3	< 0.1%

product_name_cons
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Full service Closed calculation	43094
Open Calculation	40705
Finance Only	62

Length

Max length	31
Median length	31
Mean length	23.70515496
Min length	12

Characters and Unicode

Total characters	1987938
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Full service Closed calculation
2nd row	Full service Closed calculation
3rd row	Full service Closed calculation
4th row	Full service Closed calculation
5th row	Full service Closed calculation

Value	Count	Frequency (%)
Full service Closed calculation	43094	51.4%
Open Calculation	40705	48.5%
Finance Only	62	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
calculation	83799	33.0%
closed	43094	17.0%
full	43094	17.0%
service	43094	17.0%
open	40705	16.0%
finance	62	< 0.1%
only	62	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
l	296942	14.9%
	170049	8.6%
e	170049	8.6%
c	170049	8.6%
a	167660	8.4%
i	126955	6.4%
u	126893	6.4%
o	126893	6.4%
n	124690	6.3%
s	86188	4.3%
Other values (9)	421570	21.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1650167	83.0%
Space Separator	170049	8.6%
Uppercase Letter	167722	8.4%

Most frequent character per category

Value	Count	Frequency (%)
l	296942	18.0%
e	170049	10.3%
c	170049	10.3%
a	167660	10.2%
i	126955	7.7%
u	126893	7.7%
o	126893	7.7%
n	124690	7.6%
s	86188	5.2%
t	83799	5.1%
Other values (5)	170049	10.3%

Value	Count	Frequency (%)
C	83799	50.0%
F	43156	25.7%
O	40767	24.3%

Value	Count	Frequency (%)
	170049	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1817889	91.4%
Common	170049	8.6%

Most frequent character per script

Value	Count	Frequency (%)
l	296942	16.3%
e	170049	9.4%
c	170049	9.4%
a	167660	9.2%
i	126955	7.0%
u	126893	7.0%
o	126893	7.0%
n	124690	6.9%
s	86188	4.7%
C	83799	4.6%
Other values (8)	337771	18.6%

Value	Count	Frequency (%)
	170049	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1987938	100.0%

Most frequent character per block

Value	Count	Frequency (%)
l	296942	14.9%
	170049	8.6%
e	170049	8.6%
c	170049	8.6%
a	167660	8.4%
i	126955	6.4%
u	126893	6.4%
o	126893	6.4%
n	124690	6.3%
s	86188	4.3%
Other values (9)	421570	21.2%

engine_capacity
Real number (ℝ_≥0)

Distinct	215
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1831.290087
Minimum	1
Maximum	5513
Zeros	0
Zeros (%)	0.0%
Memory size	655.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1229
Q1	1560
median	1968
Q3	1998
95-th percentile	2402
Maximum	5513
Range	5512
Interquartile range (IQR)	438

Descriptive statistics

Standard deviation	423.2748694
Coefficient of variation (CV)	0.2311348007
Kurtosis	4.236574638
Mean	1831.290087
Median Absolute Deviation (MAD)	230
Skewness	-0.4251176918
Sum	153573818
Variance	179161.615
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1968	10498	12.5%
1598	9272	11.1%
1995	7555	9.0%
1560	4951	5.9%
2198	4623	5.5%
1461	3733	4.5%
2143	3660	4.4%
1998	2565	3.1%
1997	2348	2.8%
1248	2295	2.7%
Other values (205)	32361	38.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	908	1.1%
698	2	< 0.1%
799	2	< 0.1%
875	15	< 0.1%
898	50	0.1%

Value	Count	Frequency (%)
5513	2	< 0.1%
5461	3	< 0.1%
5000	5	< 0.1%
4663	6	< 0.1%
4367	13	< 0.1%

engine_power
Real number (ℝ_≥0)

Distinct	198
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	101.4672017
Minimum	0
Maximum	508
Zeros	38
Zeros (%)	< 0.1%
Memory size	655.3 KiB

Quantile statistics

Minimum	0
5-th percentile	55
Q1	80
median	96
Q3	120
95-th percentile	163
Maximum	508
Range	508
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	35.25534416
Coefficient of variation (CV)	0.3474555677
Kurtosis	7.362280019
Mean	101.4672017
Median Absolute Deviation (MAD)	19
Skewness	1.833430443
Sum	8509141
Variance	1242.939292
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
110	6414	7.6%
103	4459	5.3%
77	4323	5.2%
81	4255	5.1%
85	4071	4.9%
55	3769	4.5%
100	3607	4.3%
140	3305	3.9%
66	3156	3.8%
96	3122	3.7%
Other values (188)	43380	51.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	38	< 0.1%
40	57	0.1%
41	10	< 0.1%
43	2	< 0.1%
44	231	0.3%

Value	Count	Frequency (%)
508	1	< 0.1%
451	3	< 0.1%
449	13	< 0.1%
430	2	< 0.1%
405	1	< 0.1%

gross_weight
Real number (ℝ_≥0)

ZEROS

Distinct	695
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2199.739104
Minimum	0
Maximum	7000
Zeros	1980
Zeros (%)	2.4%
Memory size	655.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1550
Q1	1885
median	2090
Q3	2390
95-th percentile	3500
Maximum	7000
Range	7000
Interquartile range (IQR)	505

Descriptive statistics

Standard deviation	649.801155
Coefficient of variation (CV)	0.2953991925
Kurtosis	4.009477591
Mean	2199.739104
Median Absolute Deviation (MAD)	230
Skewness	0.2100873553
Sum	184472321
Variance	422241.5411
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3500	5388	6.4%
1900	2450	2.9%
0	1980	2.4%
2100	1548	1.8%
2800	1288	1.5%
1675	1169	1.4%
2020	1045	1.2%
1850	1032	1.2%
1940	986	1.2%
1805	962	1.1%
Other values (685)	66013	78.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1980	2.4%
980	2	< 0.1%
1020	5	< 0.1%
1050	5	< 0.1%
1150	1	< 0.1%

Value	Count	Frequency (%)
7000	21	< 0.1%
5500	5	< 0.1%
5200	152	0.2%
5000	109	0.1%
4700	6	< 0.1%

tare_weight
Real number (ℝ_≥0)

ZEROS

Distinct	1243
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1435.224336
Minimum	0
Maximum	3011
Zeros	5642
Zeros (%)	6.7%
Memory size	655.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1302
median	1475
Q3	1699
95-th percentile	2045
Maximum	3011
Range	3011
Interquartile range (IQR)	397

Descriptive statistics

Standard deviation	477.831333
Coefficient of variation (CV)	0.3329314597
Kurtosis	3.238187863
Mean	1435.224336
Median Absolute Deviation (MAD)	195
Skewness	-1.437748204
Sum	120359348
Variance	228322.7828
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5642	6.7%
1320	1735	2.1%
1420	1549	1.8%
1280	1482	1.8%
1160	1217	1.5%
1430	1216	1.5%
1660	857	1.0%
1845	822	1.0%
1370	784	0.9%
1540	727	0.9%
Other values (1233)	67830	80.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5642	6.7%
605	1	< 0.1%
720	2	< 0.1%
750	3	< 0.1%
770	2	< 0.1%

Value	Count	Frequency (%)
3011	30	< 0.1%
2984	21	< 0.1%
2832	2	< 0.1%
2783	1	< 0.1%
2766	4	< 0.1%

co2_level_combined
Real number (ℝ_≥0)

ZEROS

Distinct	255
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	125.8197493
Minimum	0
Maximum	999
Zeros	3992
Zeros (%)	4.8%
Memory size	655.3 KiB

Quantile statistics

Minimum	0
5-th percentile	32
Q1	107
median	120
Q3	149
95-th percentile	209
Maximum	999
Range	999
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	47.26872164
Coefficient of variation (CV)	0.3756860261
Kurtosis	2.978972358
Mean	125.8197493
Median Absolute Deviation (MAD)	18
Skewness	-0.1469358058
Sum	10551370
Variance	2234.332045
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
119	5454	6.5%
109	4044	4.8%
0	3992	4.8%
99	3643	4.3%
120	2401	2.9%
129	2250	2.7%
139	1882	2.2%
114	1865	2.2%
112	1827	2.2%
104	1262	1.5%
Other values (245)	55241	65.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3992	4.8%
1	16	< 0.1%
12	3	< 0.1%
13	26	< 0.1%
14	6	< 0.1%

Value	Count	Frequency (%)
999	1	< 0.1%
348	2	< 0.1%
343	13	< 0.1%
340	13	< 0.1%
327	9	< 0.1%

number_of_cylinders
Real number (ℝ_≥0)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.823064356
Minimum	0
Maximum	12
Zeros	3673
Zeros (%)	4.4%
Memory size	655.3 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	4
median	4
Q3	4
95-th percentile	4
Maximum	12
Range	12
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8994037623
Coefficient of variation (CV)	0.2352572906
Kurtosis	12.39768167
Mean	3.823064356
Median Absolute Deviation (MAD)	0
Skewness	-3.049042464
Sum	320606
Variance	0.8089271276
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
4	73972	88.2%
3	3984	4.8%
0	3673	4.4%
6	1538	1.8%
5	622	0.7%
8	44	0.1%
2	26	< 0.1%
12	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3673	4.4%
2	26	< 0.1%
3	3984	4.8%
4	73972	88.2%
5	622	0.7%

Value	Count	Frequency (%)
12	2	< 0.1%
8	44	0.1%
6	1538	1.8%
5	622	0.7%
4	73972	88.2%

number_of_doors
Real number (ℝ)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.464113235
Minimum	-6
Maximum	9
Zeros	20982
Zeros (%)	25.0%
Memory size	655.3 KiB

Quantile statistics

Minimum	-6
5-th percentile	0
Q1	0
median	5
Q3	5
95-th percentile	5
Maximum	9
Range	15
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.1046983
Coefficient of variation (CV)	0.607572027
Kurtosis	-0.9636696509
Mean	3.464113235
Median Absolute Deviation (MAD)	0
Skewness	-0.9149164142
Sum	290504
Variance	4.429754934
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
5	46549	55.5%
0	20982	25.0%
4	11246	13.4%
3	2576	3.1%
2	2480	3.0%
6	20	< 0.1%
-6	7	< 0.1%
9	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-6	7	< 0.1%
0	20982	25.0%
2	2480	3.0%
3	2576	3.1%
4	11246	13.4%

Value	Count	Frequency (%)
9	1	< 0.1%
6	20	< 0.1%
5	46549	55.5%
4	11246	13.4%
3	2576	3.1%

contract_duration
Real number (ℝ_≥0)

Distinct	66
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	35.86346454
Minimum	1
Maximum	92
Zeros	0
Zeros (%)	0.0%
Memory size	655.3 KiB

Quantile statistics

Minimum	1
5-th percentile	12
Q1	24
median	36
Q3	48
95-th percentile	60
Maximum	92
Range	91
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	15.11114979
Coefficient of variation (CV)	0.4213522029
Kurtosis	-0.5077759514
Mean	35.86346454
Median Absolute Deviation (MAD)	12
Skewness	-0.366571452
Sum	3007546
Variance	228.3468479
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36	28519	34.0%
48	23229	27.7%
12	11934	14.2%
60	6886	8.2%
24	6296	7.5%
6	3431	4.1%
42	522	0.6%
30	382	0.5%
54	185	0.2%
40	180	0.2%
Other values (56)	2297	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	31	< 0.1%
2	10	< 0.1%
3	5	< 0.1%
4	7	< 0.1%
5	15	< 0.1%

Value	Count	Frequency (%)
92	1	< 0.1%
91	1	< 0.1%
84	176	0.2%
72	82	0.1%
69	1	< 0.1%

contract_mileage
Real number (ℝ_≥0)

Distinct	16481
Distinct (%)	19.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	54619.83407
Minimum	500
Maximum	270000
Zeros	0
Zeros (%)	0.0%
Memory size	655.3 KiB

Quantile statistics

Minimum	500
5-th percentile	8000
Q1	25000
median	52500
Q3	80000
95-th percentile	120000
Maximum	270000
Range	269500
Interquartile range (IQR)	55000

Descriptive statistics

Standard deviation	34811.06138
Coefficient of variation (CV)	0.637333708
Kurtosis	0.1301257559
Mean	54619.83407
Median Absolute Deviation (MAD)	27500
Skewness	0.6108718211
Sum	4580473905
Variance	1211809994
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60000	6943	8.3%
80000	5019	6.0%
30000	3678	4.4%
10000	3214	3.8%
75000	3053	3.6%
100000	2484	3.0%
90000	2416	2.9%
40000	2086	2.5%
20000	2039	2.4%
45000	2033	2.4%
Other values (16471)	50896	60.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
500	2	< 0.1%
750	1	< 0.1%
756	1	< 0.1%
896	1	< 0.1%
972	1	< 0.1%

Value	Count	Frequency (%)
270000	2	< 0.1%
250000	2	< 0.1%
212895	1	< 0.1%
201785	1	< 0.1%
200000	7	< 0.1%

monthly_lease_installment
Real number (ℝ)

Distinct	39553
Distinct (%)	47.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	360.0503313
Minimum	-500.07
Maximum	2891.8
Zeros	1
Zeros (%)	< 0.1%
Memory size	655.3 KiB

Quantile statistics

Minimum	-500.07
5-th percentile	137.22
Q1	254.77
median	338.79
Q3	448.11
95-th percentile	626.31
Maximum	2891.8
Range	3391.87
Interquartile range (IQR)	193.34

Descriptive statistics

Standard deviation	156.7400635
Coefficient of variation (CV)	0.4353282026
Kurtosis	5.711772439
Mean	360.0503313
Median Absolute Deviation (MAD)	94.86
Skewness	1.298408366
Sum	30194180.83
Variance	24567.44752
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
294.2	159	0.2%
321.34	121	0.1%
310.46	105	0.1%
174.73	60	0.1%
514.76	57	0.1%
599.55	52	0.1%
84.98	51	0.1%
300.68	49	0.1%
159.11	49	0.1%
216.64	48	0.1%
Other values (39543)	83110	99.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-500.07	1	< 0.1%
0	1	< 0.1%
1	2	< 0.1%
11.49	1	< 0.1%
15.85	1	< 0.1%

Value	Count	Frequency (%)
2891.8	1	< 0.1%
2086.96	1	< 0.1%
2058.34	1	< 0.1%
2031.64	1	< 0.1%
2009.53	1	< 0.1%

supplier_discount_perc
Real number (ℝ)

ZEROS

Distinct	2101
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.492942607
Minimum	-2
Maximum	57.97
Zeros	44032
Zeros (%)	52.5%
Memory size	655.3 KiB

Quantile statistics

Minimum	-2
5-th percentile	0
Q1	0
median	0
Q3	10.25
95-th percentile	19
Maximum	57.97
Range	59.97
Interquartile range (IQR)	10.25

Descriptive statistics

Standard deviation	8.26226607
Coefficient of variation (CV)	1.504160276
Kurtosis	6.624982316
Mean	5.492942607
Median Absolute Deviation (MAD)	0
Skewness	2.253848121
Sum	460643.66
Variance	68.26504062
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	44032	52.5%
12	3320	4.0%
11	3246	3.9%
10	2772	3.3%
14	2545	3.0%
8	1869	2.2%
2.5	1756	2.1%
9	1614	1.9%
3	1519	1.8%
10.5	1455	1.7%
Other values (2091)	19733	23.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2	8	< 0.1%
-0.4	1	< 0.1%
-0.23	1	< 0.1%
-0.08	1	< 0.1%
0	44032	52.5%

Value	Count	Frequency (%)
57.97	1	< 0.1%
56.28	1	< 0.1%
55.59	6	< 0.1%
55.57	1	< 0.1%
55.55	2	< 0.1%

discount_to_customer
Real number (ℝ_≥0)

ZEROS

Distinct	32394
Distinct (%)	38.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4037.132729
Minimum	0
Maximum	19007.49
Zeros	17539
Zeros (%)	20.9%
Memory size	655.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1646.26
median	3825.26
Q3	5871.29
95-th percentile	9964.85
Maximum	19007.49
Range	19007.49
Interquartile range (IQR)	4225.03

Descriptive statistics

Standard deviation	3214.28036
Coefficient of variation (CV)	0.7961790152
Kurtosis	0.4251740871
Mean	4037.132729
Median Absolute Deviation (MAD)	2103.26
Skewness	0.7107629435
Sum	338557987.8
Variance	10331598.23
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	17539	20.9%
6788.35	256	0.3%
7342.03	246	0.3%
4458.37	170	0.2%
5805.81	148	0.2%
8345.83	124	0.1%
3500	123	0.1%
12476.15	116	0.1%
4278.56	114	0.1%
8673.33	103	0.1%
Other values (32384)	64922	77.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	17539	20.9%
30.41	1	< 0.1%
56.83	1	< 0.1%
56.84	1	< 0.1%
62.19	1	< 0.1%

Value	Count	Frequency (%)
19007.49	1	< 0.1%
18574.58	1	< 0.1%
18039	4	< 0.1%
16860.6	16	< 0.1%
16800	1	< 0.1%

enriched_make
Categorical

HIGH CORRELATION

Distinct	44
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Ford	13637
Bmw	9572
Volkswagen	9123
Opel	7609
Audi	6681
Other values (39)	37239

Length

Max length	10
Median length	5
Mean length	5.669679589
Min length	2

Characters and Unicode

Total characters	475465
Distinct characters	43
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Peugeot
2nd row	Peugeot
3rd row	Bmw
4th row	Bmw
5th row	Nissan

Value	Count	Frequency (%)
Ford	13637	16.3%
Bmw	9572	11.4%
Volkswagen	9123	10.9%
Opel	7609	9.1%
Audi	6681	8.0%
Mercedes	6115	7.3%
Renault	5138	6.1%
Toyota	3222	3.8%
Nissan	3029	3.6%
Peugeot	3007	3.6%
Other values (34)	16728	19.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
ford	13637	15.9%
bmw	9572	11.2%
volkswagen	9123	10.7%
opel	7609	8.9%
audi	6681	7.8%
mercedes	6115	7.1%
renault	5138	6.0%
toyota	3222	3.8%
nissan	3029	3.5%
peugeot	3007	3.5%
Other values (36)	18477	21.6%

Most occurring characters

Value	Count	Frequency (%)
e	53246	11.2%
o	43529	9.2%
a	31610	6.6%
d	31603	6.6%
r	24641	5.2%
l	24552	5.2%
s	24228	5.1%
n	23111	4.9%
w	18695	3.9%
i	18467	3.9%
Other values (33)	181783	38.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	388106	81.6%
Uppercase Letter	85610	18.0%
Space Separator	1749	0.4%

Most frequent character per category

Value	Count	Frequency (%)
e	53246	13.7%
o	43529	11.2%
a	31610	8.1%
d	31603	8.1%
r	24641	6.3%
l	24552	6.3%
s	24228	6.2%
n	23111	6.0%
w	18695	4.8%
i	18467	4.8%
Other values (14)	94424	24.3%

Value	Count	Frequency (%)
F	14015	16.4%
V	11345	13.3%
B	9572	11.2%
M	8745	10.2%
O	7609	8.9%
A	6902	8.1%
R	6887	8.0%
S	3441	4.0%
T	3440	4.0%
P	3045	3.6%
Other values (8)	10609	12.4%

Value	Count	Frequency (%)
	1749	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	473716	99.6%
Common	1749	0.4%

Most frequent character per script

Value	Count	Frequency (%)
e	53246	11.2%
o	43529	9.2%
a	31610	6.7%
d	31603	6.7%
r	24641	5.2%
l	24552	5.2%
s	24228	5.1%
n	23111	4.9%
w	18695	3.9%
i	18467	3.9%
Other values (32)	180034	38.0%

Value	Count	Frequency (%)
	1749	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	475465	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	53246	11.2%
o	43529	9.2%
a	31610	6.6%
d	31603	6.6%
r	24641	5.2%
l	24552	5.2%
s	24228	5.1%
n	23111	4.9%
w	18695	3.9%
i	18467	3.9%
Other values (33)	181783	38.2%

enriched_model
Categorical

HIGH CARDINALITY

Distinct	425
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Transit	3858
Series 3	3800
Golf	3725
Focus	2554
A3	2241
Other values (420)	67683

Length

Max length	22
Median length	6
Mean length	6.278675427
Min length	1

Characters and Unicode

Total characters	526536
Distinct characters	65
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45 ?
Unique (%)	0.1%

Sample

1st row	Bipper
2nd row	Bipper
3rd row	Series 4
4th row	Series 4
5th row	Np300 Navara

Value	Count	Frequency (%)
Transit	3858	4.6%
Series 3	3800	4.5%
Golf	3725	4.4%
Focus	2554	3.0%
A3	2241	2.7%
Passat	2139	2.6%
Corsa	2130	2.5%
Transit Custom	2123	2.5%
Series 5	2011	2.4%
A4	1869	2.2%
Other values (415)	57411	68.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
series	8213	8.2%
transit	7651	7.6%
3	3930	3.9%
golf	3756	3.7%
focus	2554	2.5%
passat	2479	2.5%
a3	2241	2.2%
corsa	2130	2.1%
custom	2123	2.1%
5	2016	2.0%
Other values (405)	63114	63.0%

Most occurring characters

Value	Count	Frequency (%)
a	49555	9.4%
s	48843	9.3%
r	40856	7.8%
e	39273	7.5%
i	35030	6.7%
o	30370	5.8%
n	27690	5.3%
t	26615	5.1%
C	16783	3.2%
	16346	3.1%
Other values (55)	195175	37.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	377676	71.7%
Uppercase Letter	96028	18.2%
Decimal Number	30229	5.7%
Space Separator	16346	3.1%
Dash Punctuation	6085	1.2%
Math Symbol	172	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
C	16783	17.5%
S	11858	12.3%
T	11641	12.1%
A	10377	10.8%
M	5316	5.5%
G	5121	5.3%
P	4804	5.0%
F	4388	4.6%
R	3482	3.6%
X	3342	3.5%
Other values (16)	18916	19.7%

Value	Count	Frequency (%)
a	49555	13.1%
s	48843	12.9%
r	40856	10.8%
e	39273	10.4%
i	35030	9.3%
o	30370	8.0%
n	27690	7.3%
t	26615	7.0%
l	13872	3.7%
c	11468	3.0%
Other values (16)	54104	14.3%

Value	Count	Frequency (%)
3	7920	26.2%
0	5847	19.3%
5	4157	13.8%
4	3596	11.9%
1	2471	8.2%
6	2382	7.9%
2	1955	6.5%
8	1221	4.0%
7	448	1.5%
9	232	0.8%

Value	Count	Frequency (%)
	16346	100.0%

Value	Count	Frequency (%)
-	6085	100.0%

Value	Count	Frequency (%)
+	172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	473704	90.0%
Common	52832	10.0%

Most frequent character per script

Value	Count	Frequency (%)
a	49555	10.5%
s	48843	10.3%
r	40856	8.6%
e	39273	8.3%
i	35030	7.4%
o	30370	6.4%
n	27690	5.8%
t	26615	5.6%
C	16783	3.5%
l	13872	2.9%
Other values (42)	144817	30.6%

Value	Count	Frequency (%)
	16346	30.9%
3	7920	15.0%
-	6085	11.5%
0	5847	11.1%
5	4157	7.9%
4	3596	6.8%
1	2471	4.7%
6	2382	4.5%
2	1955	3.7%
8	1221	2.3%
Other values (3)	852	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	526536	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	49555	9.4%
s	48843	9.3%
r	40856	7.8%
e	39273	7.5%
i	35030	6.7%
o	30370	5.8%
n	27690	5.3%
t	26615	5.1%
C	16783	3.2%
	16346	3.1%
Other values (55)	195175	37.1%

enriched_primary_fuel_type
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Diesel	68605
Unleaded	9533
Electric	3393
Premium Unleaded	2323
E85	7

Length

Max length	16
Median length	6
Mean length	6.585027605
Min length	3

Characters and Unicode

Total characters	552227
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Diesel
2nd row	Diesel
3rd row	Diesel
4th row	Diesel
5th row	Diesel

Value	Count	Frequency (%)
Diesel	68605	81.8%
Unleaded	9533	11.4%
Electric	3393	4.0%
Premium Unleaded	2323	2.8%
E85	7	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
diesel	68605	79.6%
unleaded	11856	13.8%
electric	3393	3.9%
premium	2323	2.7%
e85	7	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	166638	30.2%
l	83854	15.2%
i	74321	13.5%
D	68605	12.4%
s	68605	12.4%
d	23712	4.3%
U	11856	2.1%
n	11856	2.1%
a	11856	2.1%
c	6786	1.2%
Other values (9)	24138	4.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	463706	84.0%
Uppercase Letter	86184	15.6%
Space Separator	2323	0.4%
Decimal Number	14	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	166638	35.9%
l	83854	18.1%
i	74321	16.0%
s	68605	14.8%
d	23712	5.1%
n	11856	2.6%
a	11856	2.6%
c	6786	1.5%
r	5716	1.2%
m	4646	1.0%
Other values (2)	5716	1.2%

Value	Count	Frequency (%)
D	68605	79.6%
U	11856	13.8%
E	3400	3.9%
P	2323	2.7%

Value	Count	Frequency (%)
8	7	50.0%
5	7	50.0%

Value	Count	Frequency (%)
	2323	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	549890	99.6%
Common	2337	0.4%

Most frequent character per script

Value	Count	Frequency (%)
e	166638	30.3%
l	83854	15.2%
i	74321	13.5%
D	68605	12.5%
s	68605	12.5%
d	23712	4.3%
U	11856	2.2%
n	11856	2.2%
a	11856	2.2%
c	6786	1.2%
Other values (6)	21801	4.0%

Value	Count	Frequency (%)
	2323	99.4%
8	7	0.3%
5	7	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	552227	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	166638	30.2%
l	83854	15.2%
i	74321	13.5%
D	68605	12.4%
s	68605	12.4%
d	23712	4.3%
U	11856	2.1%
n	11856	2.1%
a	11856	2.1%
c	6786	1.2%
Other values (9)	24138	4.4%

segment_global
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Lower Medium	18174
Upper Medium	17255
SUV	9171
Medium Commercial	8333
Small Commercial	7304
Other values (12)	23624

Length

Max length	22
Median length	12
Mean length	11.43647226
Min length	3

Characters and Unicode

Total characters	959074
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Car Derived Commercial
2nd row	Car Derived Commercial
3rd row	Sports
4th row	Sports
5th row	Pickup

Value	Count	Frequency (%)
Lower Medium	18174	21.7%
Upper Medium	17255	20.6%
SUV	9171	10.9%
Medium Commercial	8333	9.9%
Small Commercial	7304	8.7%
Small	6343	7.6%
Car Derived Commercial	5663	6.8%
Executive	4393	5.2%
Mini MPV	1948	2.3%
Sports	1668	2.0%
Other values (7)	3609	4.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	44432	29.6%
commercial	21300	14.2%
lower	18191	12.1%
upper	17275	11.5%
small	13647	9.1%
suv	9208	6.1%
car	5663	3.8%
derived	5663	3.8%
executive	4393	2.9%
mpv	3069	2.0%
Other values (6)	7043	4.7%

Most occurring characters

Value	Count	Frequency (%)
e	121798	12.7%
m	100679	10.5%
i	83340	8.7%
r	69800	7.3%
	66023	6.9%
u	51047	5.3%
M	50206	5.2%
d	50095	5.2%
l	49570	5.2%
o	41159	4.3%
Other values (21)	275357	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	718613	74.9%
Uppercase Letter	174438	18.2%
Space Separator	66023	6.9%

Most frequent character per category

Value	Count	Frequency (%)
e	121798	16.9%
m	100679	14.0%
i	83340	11.6%
r	69800	9.7%
u	51047	7.1%
d	50095	7.0%
l	49570	6.9%
o	41159	5.7%
a	40610	5.7%
p	37872	5.3%
Other values (10)	72643	10.1%

Value	Count	Frequency (%)
M	50206	28.8%
C	26963	15.5%
U	26483	15.2%
S	25011	14.3%
L	18231	10.5%
V	12277	7.0%
D	5663	3.2%
P	4723	2.7%
E	4393	2.5%
F	488	0.3%

Value	Count	Frequency (%)
	66023	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	893051	93.1%
Common	66023	6.9%

Most frequent character per script

Value	Count	Frequency (%)
e	121798	13.6%
m	100679	11.3%
i	83340	9.3%
r	69800	7.8%
u	51047	5.7%
M	50206	5.6%
d	50095	5.6%
l	49570	5.6%
o	41159	4.6%
a	40610	4.5%
Other values (20)	234747	26.3%

Value	Count	Frequency (%)
	66023	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	959074	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	121798	12.7%
m	100679	10.5%
i	83340	8.7%
r	69800	7.3%
	66023	6.9%
u	51047	5.3%
M	50206	5.2%
d	50095	5.2%
l	49570	5.2%
o	41159	4.3%
Other values (21)	275357	28.7%

segment_regional
Categorical

HIGH CORRELATION

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

C1 - lower medium -	11121
D2 - upper medium +	9288
Medium Commercial	8333
C2 - lower medium +	8205
Medium SUV	7605
Other values (19)	39309

Length

Max length	24
Median length	17
Mean length	15.88322343
Min length	6

Characters and Unicode

Total characters	1331983
Distinct characters	37
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Car Derived Van
2nd row	Car Derived Van
3rd row	Sports
4th row	Sports
5th row	Pickup

Value	Count	Frequency (%)
C1 - lower medium -	11121	13.3%
D2 - upper medium +	9288	11.1%
Medium Commercial	8333	9.9%
C2 - lower medium +	8205	9.8%
Medium SUV	7605	9.1%
D1 - upper medium -	6828	8.1%
Small Commercial	6738	8.0%
B - small	6303	7.5%
Car Derived Van	5660	6.7%
E1 - large and executive	4393	5.2%
Other values (14)	9387	11.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
	82416	27.7%
medium	52013	17.5%
lower	19326	6.5%
upper	16116	5.4%
commercial	15627	5.3%
small	13810	4.6%
c1	11124	3.7%
suv	9704	3.3%
d2	9300	3.1%
c2	8205	2.8%
Other values (18)	59798	20.1%

Most occurring characters

Value	Count	Frequency (%)
	213578	16.0%
e	132572	10.0%
m	132519	9.9%
i	85705	6.4%
u	76410	5.7%
r	70513	5.3%
l	67802	5.1%
-	64923	4.9%
d	62066	4.7%
a	50937	3.8%
Other values (27)	374958	28.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	846725	63.6%
Space Separator	213578	16.0%
Uppercase Letter	148571	11.2%
Dash Punctuation	64923	4.9%
Decimal Number	39897	3.0%
Math Symbol	17493	1.3%
Other Punctuation	796	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	132572	15.7%
m	132519	15.7%
i	85705	10.1%
u	76410	9.0%
r	70513	8.3%
l	67802	8.0%
d	62066	7.3%
a	50937	6.0%
o	36608	4.3%
p	35615	4.2%
Other values (10)	95978	11.3%

Value	Count	Frequency (%)
C	40616	27.3%
D	21795	14.7%
M	21588	14.5%
S	18866	12.7%
V	18433	12.4%
U	9704	6.5%
B	6303	4.2%
P	4797	3.2%
E	4433	3.0%
L	1240	0.8%

Value	Count	Frequency (%)
1	22352	56.0%
2	17545	44.0%

Value	Count	Frequency (%)
	213578	100.0%

Value	Count	Frequency (%)
-	64923	100.0%

Value	Count	Frequency (%)
/	796	100.0%

Value	Count	Frequency (%)
+	17493	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	995296	74.7%
Common	336687	25.3%

Most frequent character per script

Value	Count	Frequency (%)
e	132572	13.3%
m	132519	13.3%
i	85705	8.6%
u	76410	7.7%
r	70513	7.1%
l	67802	6.8%
d	62066	6.2%
a	50937	5.1%
C	40616	4.1%
o	36608	3.7%
Other values (21)	239548	24.1%

Value	Count	Frequency (%)
	213578	63.4%
-	64923	19.3%
1	22352	6.6%
2	17545	5.2%
+	17493	5.2%
/	796	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1331983	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	213578	16.0%
e	132572	10.0%
m	132519	9.9%
i	85705	6.4%
u	76410	5.7%
r	70513	5.3%
l	67802	5.1%
-	64923	4.9%
d	62066	4.7%
a	50937	3.8%
Other values (27)	374958	28.2%

new_powertrain_type
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

combustion	78282
phev	2456
hev	2005
bev	911
mhev	206

Length

Max length	15
Median length	10
Mean length	9.566198829
Min length	3

Characters and Unicode

Total characters	802231
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	combustion
2nd row	combustion
3rd row	combustion
4th row	combustion
5th row	combustion

Value	Count	Frequency (%)
combustion	78282	93.3%
phev	2456	2.9%
hev	2005	2.4%
bev	911	1.1%
mhev	206	0.2%
alternate fuels	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
combustion	78282	93.3%
phev	2456	2.9%
hev	2005	2.4%
bev	911	1.1%
mhev	206	0.2%
alternate	1	< 0.1%
fuels	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	156564	19.5%
b	79193	9.9%
m	78488	9.8%
t	78284	9.8%
u	78283	9.8%
s	78283	9.8%
n	78283	9.8%
c	78282	9.8%
i	78282	9.8%
e	5581	0.7%
Other values (8)	12708	1.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	802230	> 99.9%
Space Separator	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
o	156564	19.5%
b	79193	9.9%
m	78488	9.8%
t	78284	9.8%
u	78283	9.8%
s	78283	9.8%
n	78283	9.8%
c	78282	9.8%
i	78282	9.8%
e	5581	0.7%
Other values (7)	12707	1.6%

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	802230	> 99.9%
Common	1	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
o	156564	19.5%
b	79193	9.9%
m	78488	9.8%
t	78284	9.8%
u	78283	9.8%
s	78283	9.8%
n	78283	9.8%
c	78282	9.8%
i	78282	9.8%
e	5581	0.7%
Other values (7)	12707	1.6%

Value	Count	Frequency (%)
	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	802231	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	156564	19.5%
b	79193	9.9%
m	78488	9.8%
t	78284	9.8%
u	78283	9.8%
s	78283	9.8%
n	78283	9.8%
c	78282	9.8%
i	78282	9.8%
e	5581	0.7%
Other values (8)	12708	1.6%

Customer_Segment
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	655.3 KiB

Corporate	45877
Small fleet	20402
Governments	7155
Private Households	6729
Insurance companies	3608
Other values (2)	90

Length

Max length	19
Median length	9
Mean length	10.80540418
Min length	5

Characters and Unicode

Total characters	906152
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Small fleet
2nd row	Small fleet
3rd row	Private Households
4th row	Private Households
5th row	Small fleet

Value	Count	Frequency (%)
Corporate	45877	54.7%
Small fleet	20402	24.3%
Governments	7155	8.5%
Private Households	6729	8.0%
Insurance companies	3608	4.3%
Banks	88	0.1%
Own fleet	2	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
corporate	45877	40.0%
fleet	20404	17.8%
small	20402	17.8%
governments	7155	6.2%
private	6729	5.9%
households	6729	5.9%
insurance	3608	3.1%
companies	3608	3.1%
banks	88	0.1%
own	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	121669	13.4%
o	115975	12.8%
r	109246	12.1%
a	80312	8.9%
t	80165	8.8%
l	67937	7.5%
p	49485	5.5%
C	45877	5.1%
m	31165	3.4%
	30741	3.4%
Other values (18)	173580	19.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	784821	86.6%
Uppercase Letter	90590	10.0%
Space Separator	30741	3.4%

Most frequent character per category

Value	Count	Frequency (%)
e	121669	15.5%
o	115975	14.8%
r	109246	13.9%
a	80312	10.2%
t	80165	10.2%
l	67937	8.7%
p	49485	6.3%
m	31165	4.0%
s	27917	3.6%
n	25224	3.2%
Other values (9)	75726	9.6%

Value	Count	Frequency (%)
C	45877	50.6%
S	20402	22.5%
G	7155	7.9%
P	6729	7.4%
H	6729	7.4%
I	3608	4.0%
B	88	0.1%
O	2	< 0.1%

Value	Count	Frequency (%)
	30741	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	875411	96.6%
Common	30741	3.4%

Most frequent character per script

Value	Count	Frequency (%)
e	121669	13.9%
o	115975	13.2%
r	109246	12.5%
a	80312	9.2%
t	80165	9.2%
l	67937	7.8%
p	49485	5.7%
C	45877	5.2%
m	31165	3.6%
s	27917	3.2%
Other values (17)	145663	16.6%

Value	Count	Frequency (%)
	30741	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	906152	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	121669	13.4%
o	115975	12.8%
r	109246	12.1%
a	80312	8.9%
t	80165	8.8%
l	67937	7.5%
p	49485	5.5%
C	45877	5.1%
m	31165	3.4%
	30741	3.4%
Other values (18)	173580	19.2%

Unnamed: 47
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83861
Missing (%)	100.0%
Memory size	655.3 KiB

Unnamed: 48
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83861
Missing (%)	100.0%
Memory size	655.3 KiB

Unnamed: 49
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83861
Missing (%)	100.0%
Memory size	655.3 KiB

Unnamed: 50
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83861
Missing (%)	100.0%
Memory size	655.3 KiB

Unnamed: 51
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83861
Missing (%)	100.0%
Memory size	655.3 KiB

Unnamed: 52
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83861
Missing (%)	100.0%
Memory size	655.3 KiB

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	srno	customer_number	customer_id	customer_local_key	branch_desc_cons	business_classification_desc	driver_name	start_date_leasecontract	end_date_leasecontract	leasecontract_status_cons	customer_driver_id	lease_contract_id	leasecontract_number	vehicle_id	vehicle_local_key	make_cons	registration_date	model_cons	model_type_desc	manufacturer_group	vehicle_type_cons	vehicle_segment_desc	primary_fuel_type_cons	fuel_consump_manufacturer	cat_price_euro	cat_price_options_euro	cat_price_accessories_euro	product_name_cons	engine_capacity	engine_power	gross_weight	tare_weight	co2_level_combined	number_of_cylinders	number_of_doors	contract_duration	contract_mileage	monthly_lease_installment	supplier_discount_perc	discount_to_customer	enriched_make	enriched_model	enriched_primary_fuel_type	segment_global	segment_regional	new_powertrain_type	Customer_Segment	Unnamed: 47	Unnamed: 48	Unnamed: 49	Unnamed: 50	Unnamed: 51	Unnamed: 52
0	1549	506550	28898981	UK-C-506550	Furniture And Fixtures	Small fleet	toby downes	2014-03-10 00:00:00	2018-04-09 00:00:00	Ended	00000000000004999185	166437943	9877167	355176170	UK-9877167	Peugeot	2013-12-31	BIPPER	1.3D75 PROF	PSA	Van	Car derived van	Diesel	0.00	13580.60	0.00	118.29	Full service Closed calculation	1248	55	1750	1090	119	4	0	48	40000	144.25	9.00	5526.90	Peugeot	Bipper	Diesel	Car Derived Commercial	Car Derived Van	combustion	Small fleet	NaN	NaN	NaN	NaN	NaN	NaN
1	1550	506550	28898981	UK-C-506550	Furniture And Fixtures	Small fleet	toby downes	2018-04-10 00:00:00	2019-04-08 00:00:00	Ended	00000000000004999185	330880853	1177401	459686869	UK-1177401	Peugeot	2013-12-31	BIPPER	1.3D75 PROF	PSA	Van	Car derived van	Diesel	0.00	13580.60	0.00	0.00	Full service Closed calculation	1248	55	1750	1090	119	4	0	12	8000	137.01	0.00	0.00	Peugeot	Bipper	Diesel	Car Derived Commercial	Car Derived Van	combustion	Small fleet	NaN	NaN	NaN	NaN	NaN	NaN
2	1553	841984	32193564	UK-C-841984	Private Households	Private Households	thomas fosmes	2016-04-25 00:00:00	2018-05-24 00:00:00	Ended	00000000000005174754	270272684	1051210	413736656	UK-1051210	BMW	2016-03-31	4 SERIES	2.0 M SPT PRF A	BMW Group	Car	Medium car	Diesel	1.56	32858.23	484.05	0.00	Full service Closed calculation	1995	110	2005	1485	117	4	2	24	16000	280.24	19.00	7571.25	Bmw	Series 4	Diesel	Sports	Sports	combustion	Private Households	NaN	NaN	NaN	NaN	NaN	NaN
3	1554	841984	32193564	UK-C-841984	Private Households	Private Households	thomas fosmes	2018-05-25 00:00:00	2018-10-08 00:00:00	Ended	00000000000005174754	332866747	1183042	461405173	UK-1183042	BMW	2016-03-31	4 SERIES	2.0 M SPT PRF A	BMW Group	Car	Medium car	Diesel	1.56	32858.23	0.00	0.00	Full service Closed calculation	1995	110	2005	1485	117	4	2	12	14000	370.74	0.00	0.00	Bmw	Series 4	Diesel	Sports	Sports	combustion	Private Households	NaN	NaN	NaN	NaN	NaN	NaN
4	1555	850742	32852015	UK-C-850742	Special Trade Contractors	Small fleet	terry cottam	2016-09-26 00:00:00	2019-09-25 00:00:00	Ended	00000000000005210435	279071510	1083812	423903120	UK-1083812	Nissan	2016-07-31	NP300	190 D/C TEKNA A	Renault-Nissan	Van	Other Van	Diesel	0.00	28272.07	393.26	0.00	Full service Closed calculation	2298	140	3010	1958	183	4	0	36	60000	298.40	25.08	6377.49	Nissan	Np300 Navara	Diesel	Pickup	Pickup	combustion	Small fleet	NaN	NaN	NaN	NaN	NaN	NaN
5	1556	850742	32852015	UK-C-850742	Special Trade Contractors	Small fleet	terry cottam	2019-09-26 00:00:00	###############################################################################################################################################################################################################################################################	Operational	00000000000005210435	369891143	1289414	487420561	UK-1289414	Nissan	2016-07-31	NP300	190 D/C TEKNA A	Renault-Nissan	Van	Other Van	Diesel	0.00	28272.07	0.00	0.00	Full service Closed calculation	2298	140	3010	1958	183	4	0	12	20000	333.05	0.00	0.00	Nissan	Np300 Navara	Diesel	Pickup	Pickup	combustion	Small fleet	NaN	NaN	NaN	NaN	NaN	NaN
6	1562	814699	29954544	UK-C-814699	Private Households	Small fleet	terence podmore	2017-04-21 00:00:00	2018-04-12 00:00:00	Ended	00000000000005000917	298538712	1115966	438920711	UK-1115966	Audi	2014-03-19	Q5	2.0D177 S-LINE+	VAG	Car	SUV	Diesel	0.00	33988.55	0.00	0.00	Full service Closed calculation	1968	130	2365	1755	154	4	5	12	10000	353.10	0.00	0.00	Audi	Q5	Diesel	SUV	Medium SUV	combustion	Small fleet	NaN	NaN	NaN	NaN	NaN	NaN
7	1563	814699	29954544	UK-C-814699	Private Households	Small fleet	terence podmore	2014-03-21 00:00:00	2017-04-20 00:00:00	Ended	00000000000005000917	166569096	9879025	355715224	UK-9879025	Audi	2014-03-19	Q5	2.0D177 S-LINE+	VAG	Car	SUV	Diesel	0.00	33988.55	481.59	0.00	Full service Closed calculation	1968	130	2365	1755	154	4	5	36	30000	383.64	12.00	3629.99	Audi	Q5	Diesel	SUV	Medium SUV	combustion	Small fleet	NaN	NaN	NaN	NaN	NaN	NaN
8	1630	845562	32348357	UK-C-845562	Private Households	Private Households	susan fletcher	2019-06-13 00:00:00	###############################################################################################################################################################################################################################################################	Operational	00000000000005185732	364570060	1267425	482301484	UK-1267425	Mini	2016-06-13	MINI	1.5	BMW Group	Car	Small car	Petrol	1.74	17168.00	0.00	0.00	Full service Closed calculation	1499	100	1670	1205	114	3	2	6	4000	168.37	0.00	0.00	Mini	Mini	Unleaded	Sports	Sports	combustion	Private Households	NaN	NaN	NaN	NaN	NaN	NaN
9	1631	845562	32348357	UK-C-845562	Private Households	Private Households	susan fletcher	2016-06-13 00:00:00	2019-06-12 00:00:00	Ended	00000000000005185732	273174675	1061966	417380645	UK-1061966	Mini	2016-06-13	MINI	1.5	BMW Group	Car	Small car	Petrol	1.74	17168.00	0.00	0.00	Full service Closed calculation	1499	100	1670	1205	114	3	2	36	24000	160.00	0.00	2088.33	Mini	Mini	Unleaded	Sports	Sports	combustion	Private Households	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	srno	customer_number	customer_id	customer_local_key	branch_desc_cons	business_classification_desc	driver_name	start_date_leasecontract	end_date_leasecontract	leasecontract_status_cons	customer_driver_id	lease_contract_id	leasecontract_number	vehicle_id	vehicle_local_key	make_cons	registration_date	model_cons	model_type_desc	manufacturer_group	vehicle_type_cons	vehicle_segment_desc	primary_fuel_type_cons	cat_price_euro	cat_price_options_euro	cat_price_accessories_euro	product_name_cons	engine_capacity	engine_power	gross_weight	tare_weight	co2_level_combined	number_of_cylinders	number_of_doors	contract_duration	contract_mileage	monthly_lease_installment	supplier_discount_perc	discount_to_customer	enriched_make	enriched_model	enriched_primary_fuel_type	segment_global	segment_regional	new_powertrain_type	Customer_Segment	Unnamed: 47	Unnamed: 48	Unnamed: 49	Unnamed: 50	Unnamed: 51	Unnamed: 52
83851	6198	34575	24084075	UK-C-34575	Not consolidated	Governments	20T *MARTIN SANG	2013-07-23 00:00:00	2018-08-29 00:00:00	Ended	N6850U	159172066	9805187	337040763	UK-9805187	Opel	2013-06-12	MOVANO	D125 L2H1 D/S	GM	Van	Commercial van	Diesel	28634.33	0.00	0.00	Full service Closed calculation	2298	92	3500	2187	0	4	0	60	100000	331.61	0.0	0.00	Opel	Movano	Diesel	Medium Commercial	Medium Commercial	combustion	Governments	NaN	NaN	NaN	NaN	NaN	NaN
83852	6199	21799	23494184	UK-C-21799	Special Trade Contractors	Small fleet	* UNSPECIFIED	2010-10-16 00:00:00	2011-04-19 00:00:00	Ended	UNSPEC	133551762	8809202	244723074	UK-8809202	Audi	2006-10-16	A3	2.0D140 S-LINE	VAG	Car	Compact car	Diesel	20712.54	0.00	0.00	Full service Closed calculation	1968	103	1940	1380	146	4	5	6	5000	248.59	0.0	0.00	Audi	A3	Diesel	Lower Medium	C2 - lower medium +	combustion	Small fleet	NaN	NaN	NaN	NaN	NaN	NaN
83853	6200	29738	23495987	UK-C-29738	Private Households	Private Households	* UNSPEC	2011-06-23 00:00:00	2012-06-21 00:00:00	Ended	UNSPEC	133716205	9246031	244772840	UK-9246031	Fiat	2008-03-27	GRANDE PUNTO	1.2 8v ACTIVE	Fiat Group	Car	Small car	Petrol	7565.65	0.00	0.00	Full service Closed calculation	1242	48	1575	1015	139	4	3	12	12000	155.37	0.0	0.00	Fiat	Punto	Premium Unleaded	Small	B - small	combustion	Private Households	NaN	NaN	NaN	NaN	NaN	NaN
83854	6201	909458	23605658	UK-C-909458	Not consolidated	Governments	* CARPOOL 1	2011-06-01 00:00:00	2017-06-06 00:00:00	Ended	1	133717554	9245168	244772772	UK-9245168	Mercedes Benz	2005-11-23	SPRINTER	311CDi VAN 3.5T	Daimler AG	Van	Commercial van	Diesel	22163.67	0.00	0.00	Full service Closed calculation	2148	80	3500	1945	0	4	5	12	20000	141.60	0.0	0.00	Mercedes	Sprinter	Diesel	Medium Commercial	Medium Commercial	combustion	Governments	NaN	NaN	NaN	NaN	NaN	NaN
83855	6202	909458	23605658	UK-C-909458	Not consolidated	Governments	* CARPOOL 1	2011-06-01 00:00:00	2011-09-19 00:00:00	Ended	1	133717550	9245118	244773243	UK-9245118	Mercedes Benz	2005-11-23	SPRINTER	311CDi VAN 3.5T	Daimler AG	Van	Commercial van	Diesel	22163.67	0.00	0.00	Full service Closed calculation	2148	80	3500	1945	0	4	5	12	20000	141.60	0.0	0.00	Mercedes	Sprinter	Diesel	Medium Commercial	Medium Commercial	combustion	Governments	NaN	NaN	NaN	NaN	NaN	NaN
83856	6203	909458	23605658	UK-C-909458	Not consolidated	Governments	* CARPOOL 1	2011-06-01 00:00:00	2017-06-06 00:00:00	Ended	1	133717545	9245061	244772767	UK-9245061	Mercedes Benz	2005-11-23	SPRINTER	311CDi VAN 3.5T	Daimler AG	Van	Commercial van	Diesel	22163.67	0.00	0.00	Full service Closed calculation	2148	80	3500	1945	0	4	5	12	20000	141.60	0.0	0.00	Mercedes	Sprinter	Diesel	Medium Commercial	Medium Commercial	combustion	Governments	NaN	NaN	NaN	NaN	NaN	NaN
83857	6204	909458	23605658	UK-C-909458	Not consolidated	Governments	* CARPOOL 1	2011-06-01 00:00:00	2017-06-06 00:00:00	Ended	1	133717551	9245132	244773244	UK-9245132	Mercedes Benz	2005-11-23	SPRINTER	311CDi VAN 3.5T	Daimler AG	Van	Commercial van	Diesel	22163.67	0.00	0.00	Full service Closed calculation	2148	80	3500	1945	0	4	5	12	20000	141.60	0.0	0.00	Mercedes	Sprinter	Diesel	Medium Commercial	Medium Commercial	combustion	Governments	NaN	NaN	NaN	NaN	NaN	NaN
83858	6205	24324	23499666	UK-C-24324	Business Services	Corporate	(VAN) STEVE BLAKE	2010-09-16 00:00:00	2016-03-01 00:00:00	Ended	100802	133540144	8573542	244647270	UK-8573542	Peugeot	2010-09-16	PARTNER	1.6D90 850 S FP	PSA	Van	Car derived van	Diesel	14303.26	0.00	1033.08	Open Calculation	1560	66	2180	1332	153	4	0	48	45416	254.92	10.5	4567.08	Peugeot	Partner	Diesel	Car Derived Commercial	Car Derived Van	combustion	Corporate	NaN	NaN	NaN	NaN	NaN	NaN
83859	6206	24324	23499666	UK-C-24324	Business Services	Corporate	(VAN) STEVE BLAKE	2011-09-30 00:00:00	2015-12-01 00:00:00	Ended	100802	133726466	9394652	244787723	UK-9394652	Peugeot	2011-09-30	PARTNER	1.6D92 850 S	PSA	Van	Car derived van	Diesel	14470.03	0.00	2696.45	Open Calculation	1560	66	2170	1305	136	4	5	48	35560	255.99	11.0	4997.85	Peugeot	Partner	Diesel	Car Derived Commercial	Car Derived Van	combustion	Corporate	NaN	NaN	NaN	NaN	NaN	NaN
83860	6207	24324	23499666	UK-C-24324	Business Services	Corporate	(VAN) STEVE BLAKE	2011-12-07 00:00:00	2016-03-16 00:00:00	Ended	100802	133717323	9243006	244733435	UK-9243006	Ford	2011-12-05	TRANSIT CONNECT	1.8D90 200	Ford Motor Co.	Van	Car derived van	Diesel	15287.20	44.52	812.16	Open Calculation	1753	66	2040	1427	164	4	0	48	26080	245.05	11.0	4881.25	Ford	Transit Connect	Diesel	Car Derived Commercial	Car Derived Van	combustion	Corporate	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters